Аннотация: The subject of study is computer technology for research automation by the construction of graphical cognitive model. Cognitive modeling helps better understanding of the problem situation on the basis of a qualitative analysis of the system. Cognitive modeling has been used in the development of management decisions in economic, sociological and environmental and other semi-structured systems. The essence of the cognitive approach is to develop effective management strategy, based not so much on intuition, but mostly on the orderly and verified knowledge of the complex system. Population surveys or polls of expert groups can be used as the source of such knowledge. The developed method of constructing cognitive model involves building a model in two stages. At the first stage a rough model based on identifying the most common opinions of large groups of the population is built. At the second stage, the model is improved by involving small groups of qualified experts. This stage allows to determine quantitative assessment of the links cognitive model. The authors developed a set of tools to automate the work of researchers in the development of cognitive models. The advantage of the developed computer technology is that it allows the user to focus on the researched topic, without spending time on routine calculations. The study proves that the developed software tool has the following features: efficiency, reliability, flexibility, processability, availability.

Ключевые слова: cognitive models, questionnaire, computer technology, automation, multivariate analysis, data processing, algorithm, data model, socio-economic problems, peer reviews

Библиография:
Motrich E.L. Demograficheskaya situatsiya na Dal'nem Vostoke Rosi: osnovnye tendentsii i vyzovy // Narodonaselenie. – 2016. – T. 1, № 1 (71-1). – S. 25-33
Yandieva M.S. O nekotorykh napravleniyakh sotsial'no-ekonomicheskogo razvitiya yuga Rossii na sovremennom etape // Ekonomika i predprinimatel'stvo. – 2016. – № 9 (74). – S. 137-140.
Likhosherst E.N., Mazelis L.S. Formirovanie kollektivnogo mneniya gruppy ekspertov pri strategicheskom upravlenii v universitete // Territoriya novykh vozmozhnostey. Vestnik Vladivostokskogo gosudarstvennogo universiteta ekonomiki i servisa. – 2011. – № 4. – S. 142-147.
Solodukhin K.S. Modeli podderzhki prinyatiya strategicheskikh resheniy na osnove sistemy sbalansirovannykh pokazateley // Ekonomicheskie nauki. – 2009. – № 53. – S. 253-260.
Martyshenko S.N. Analiz monitoringa sotsial'no-ekonomicheskikh protsessov v munitsipal'nykh obrazovaniyakh // Informatsionnye tekhnologii modelirovaniya i upravleniya. – 2012. – № 6 (78). – S. 506-512.
Martyshenko S.N., Martyshenko N.S. Metod obnaruzheniya oshibok v empiricheskikh dannykh // Izvestiya vuzov. Severo-Kavkazskiy region – 2008. – №1. S. 11–14.
Martyshenko N.S., Starkov A.S. Analiz struktury potrebitel'skogo regional'nogo turistskogo rynka // Territoriya nauki. – 2007. – №4(5). S. 468–478.
Martyshenko S.N., Egorov E.A. Information technology for increasing qualitative information processing efficiency // Journal of Modern Applied Statistical Methods. – 2011. – vol. 10., № 1. – pp. 207-213.
Martyshenko S.N., Martyshenko N.S. Komp'yuternaya tekhnologiya vyyavleniya i otsenki prioritetov resheniya sotsial'no-ekonomicheskikh problem regiona (na primere Primorskogo kraya) // Programmnye sistemy i vychislitel'nye metody. – 2015. – № 4. – S. 345-364.
Moskaleva S.S. Programmnaya podderzhka ekspertnoy otsenki kriteriev dlya postroeniya kognitivnoy modeli // Obrazovatel'nye resursy i tekhnologii. – 2014. – № 1 (4). – S. 97-102.
Lagerev D.G. Avtomatizatsiya razrabotki upravlencheskikh resheniy v sotsial'no-ekonomicheskikh sistemakh na osnove primeneniya nechetkikh kognitivnykh modeley // Sovremennye naukoemkie tekhnologii. – 2007. – № 11. – S. 78-79.
Kulinich A.A. Komp'yuternye sistemy modelirovaniya kognitivnykh kart: podkhody i metody, Probl. upravl. – 2010. – № 3. – S. 2–16.
Volkov V.Yu., Volkova V.V. Instrumental'nye sredstva kognitivnogo modelirovaniya v sistemakh podderzhki prinyatiya resheniy // Vestnik Mezhdunarodnoy akademii sistemnykh issledovaniy. Informatika, ekologiya, ekonomika. – 2016. – T. 18., № 1. – S. 104-108.
Ismikhanov Z.N., Gadzhiev Sh.D., Yakh'yaeva A.A. Kognitivnoe modelirovanie sotsial'no-ekonomicheskoy sistemy regiona // Sovremennye naukoemkie tekhnologii. – 2016. – № 2-2. – S. 225-228.
Vasil'ev V.I., Kudryavtseva R.T., Yudintsev V.A. Avtomatizatsiya protsessa otsenki informatsionnykh riskov s ispol'zovaniem kognitivnykh kart // Vestnik Ufimskogo gosudarstvennogo aviatsionnogo tekhnicheskogo universiteta. – 2014. – T. 18., № 3. – S. 253-260.
Bolbakov R.G. Osnovy kognitivnogo upravleniya // Gosudarstvennyy sovetnik. – 2015. – № 1 (9). – S. 45-49.
Dli M.I., Kakatunova T.V. Trekhurovnevaya nechetkaya kognitivnaya model' dlya analiza protsessov innovatsionnogo razvitiya regiona // Prikladnaya informatika. – 2013. –№ 1 (43). – S. 5-10.
Tsvetkov V.Ya., Solov'ev I.V. Printsipy kognitivnogo upravleniya slozhnoy organizatsionno-tekhnicheskoy sistemoy // Gosudarstvennyy sovetnik. – 2016. – № 1 (13). – S. 27-32.
Maksimov V.I., Kornoushenko E.K., Kachaev S.V. Kognitivnye tekhnologii dlya podderzhki prinyatiya upravlencheskikh resheniy // Informatsionnoe obshchestvo. – 1999. – № 2. – S. 50-54.
Abramova N.A., Avdeeva Z.K. Kognitivnyy analiz i upravlenie razvitiem situatsiy: problemy metodologii, teorii i praktiki // Problemy upravleniya. – 2008. – № 3. S. 85-87.
Avdeeva Z.K., Kovriga S.V., Makarenko D.I., Maksimov V.I. Kognitivnyy podkhod v upravlenii // Problemy upravleniya. – 2007. – № 3. – S. 2-8.

References (transliteration):
Motrich E.L. Demograficheskaya situatsiya na Dal'nem Vostoke Rosi: osnovnye tendentsii i vyzovy // Narodonaselenie. – 2016. – T. 1, № 1 (71-1). – S. 25-33
Yandieva M.S. O nekotorykh napravleniyakh sotsial'no-ekonomicheskogo razvitiya yuga Rossii na sovremennom etape // Ekonomika i predprinimatel'stvo. – 2016. – № 9 (74). – S. 137-140.
Likhosherst E.N., Mazelis L.S. Formirovanie kollektivnogo mneniya gruppy ekspertov pri strategicheskom upravlenii v universitete // Territoriya novykh vozmozhnostey. Vestnik Vladivostokskogo gosudarstvennogo universiteta ekonomiki i servisa. – 2011. – № 4. – S. 142-147.
Solodukhin K.S. Modeli podderzhki prinyatiya strategicheskikh resheniy na osnove sistemy sbalansirovannykh pokazateley // Ekonomicheskie nauki. – 2009. – № 53. – S. 253-260.
Martyshenko S.N. Analiz monitoringa sotsial'no-ekonomicheskikh protsessov v munitsipal'nykh obrazovaniyakh // Informatsionnye tekhnologii modelirovaniya i upravleniya. – 2012. – № 6 (78). – S. 506-512.
Martyshenko S.N., Martyshenko N.S. Metod obnaruzheniya oshibok v empiricheskikh dannykh // Izvestiya vuzov. Severo-Kavkazskiy region – 2008. – №1. S. 11–14.
Martyshenko N.S., Starkov A.S. Analiz struktury potrebitel'skogo regional'nogo turistskogo rynka // Territoriya nauki. – 2007. – №4(5). S. 468–478.
Martyshenko S.N., Egorov E.A. Information technology for increasing qualitative information processing efficiency // Journal of Modern Applied Statistical Methods. – 2011. – vol. 10., № 1. – pp. 207-213.
Martyshenko S.N., Martyshenko N.S. Komp'yuternaya tekhnologiya vyyavleniya i otsenki prioritetov resheniya sotsial'no-ekonomicheskikh problem regiona (na primere Primorskogo kraya) // Programmnye sistemy i vychislitel'nye metody. – 2015. – № 4. – S. 345-364.
Moskaleva S.S. Programmnaya podderzhka ekspertnoy otsenki kriteriev dlya postroeniya kognitivnoy modeli // Obrazovatel'nye resursy i tekhnologii. – 2014. – № 1 (4). – S. 97-102.
Lagerev D.G. Avtomatizatsiya razrabotki upravlencheskikh resheniy v sotsial'no-ekonomicheskikh sistemakh na osnove primeneniya nechetkikh kognitivnykh modeley // Sovremennye naukoemkie tekhnologii. – 2007. – № 11. – S. 78-79.
Kulinich A.A. Komp'yuternye sistemy modelirovaniya kognitivnykh kart: podkhody i metody, Probl. upravl. – 2010. – № 3. – S. 2–16.
Volkov V.Yu., Volkova V.V. Instrumental'nye sredstva kognitivnogo modelirovaniya v sistemakh podderzhki prinyatiya resheniy // Vestnik Mezhdunarodnoy akademii sistemnykh issledovaniy. Informatika, ekologiya, ekonomika. – 2016. – T. 18., № 1. – S. 104-108.
Ismikhanov Z.N., Gadzhiev Sh.D., Yakh'yaeva A.A. Kognitivnoe modelirovanie sotsial'no-ekonomicheskoy sistemy regiona // Sovremennye naukoemkie tekhnologii. – 2016. – № 2-2. – S. 225-228.
Vasil'ev V.I., Kudryavtseva R.T., Yudintsev V.A. Avtomatizatsiya protsessa otsenki informatsionnykh riskov s ispol'zovaniem kognitivnykh kart // Vestnik Ufimskogo gosudarstvennogo aviatsionnogo tekhnicheskogo universiteta. – 2014. – T. 18., № 3. – S. 253-260.
Bolbakov R.G. Osnovy kognitivnogo upravleniya // Gosudarstvennyy sovetnik. – 2015. – № 1 (9). – S. 45-49.
Dli M.I., Kakatunova T.V. Trekhurovnevaya nechetkaya kognitivnaya model' dlya analiza protsessov innovatsionnogo razvitiya regiona // Prikladnaya informatika. – 2013. –№ 1 (43). – S. 5-10.
Tsvetkov V.Ya., Solov'ev I.V. Printsipy kognitivnogo upravleniya slozhnoy organizatsionno-tekhnicheskoy sistemoy // Gosudarstvennyy sovetnik. – 2016. – № 1 (13). – S. 27-32.
Maksimov V.I., Kornoushenko E.K., Kachaev S.V. Kognitivnye tekhnologii dlya podderzhki prinyatiya upravlencheskikh resheniy // Informatsionnoe obshchestvo. – 1999. – № 2. – S. 50-54.
Abramova N.A., Avdeeva Z.K. Kognitivnyy analiz i upravlenie razvitiem situatsiy: problemy metodologii, teorii i praktiki // Problemy upravleniya. – 2008. – № 3. S. 85-87.
Avdeeva Z.K., Kovriga S.V., Makarenko D.I., Maksimov V.I. Kognitivnyy podkhod v upravlenii // Problemy upravleniya. – 2007. – № 3. – S. 2-8.

Аннотация: The subject of the study is to evaluate the effectiveness of assigning tasks in the automated systems of electronic document management on the basis of fuzzy methods of rational choice of alternatives. The object of the research is the problem of a rational choice of employee for the task based on qualifications, performance, workload as well as difficulty of the assignment. The paper focuses on three job assignment strategies:  based on the method of maximin convolution, additive convolutions and fuzzy-production model. Particular attention is paid to the software developed on the basis of the proposed methods. The authors present an example of its operation, as well as the results of studies evaluating the effectiveness of allocation tasks for the performers. As the methods of research authors used methods of fuzzy rational choice of alternatives: maximin convolution, additive convolutions and fuzzy-production model. These methods are used to assign tasks the automated systems of electronic document management. The main conclusions of the study are: -          method based on fuzzy logic inference has shown the best results, most closely consistent with the intuitive representation of an expert on rational choice assignments performers; -          maximin convolution method is a pessimistic approach, that does not take into account the good side of the alternatives; -          method of additive convolution is an optimistic approach in which low scores on the criteria have the same weight as compared to the high marks that affected its low accuracy. A special contribution to the authors of the study is in developing an effective fuzzy-productions tasks assignment model as well as the implementation of the software system for performing the necessary calculations to evaluate its effectiveness. This determines the scientific novelty and practical value of the study.

Ключевые слова: additive convolution method, maximin convolution method, software package, fuzzy-production model, decisionmaking, tasks distribution, electronic flow of documents, rational choice of alternatives, fuzzy inference, personal data operator

Библиография:
Ivchenko V.D., Korneev A.A. Analiz metodov raspredeleniya zadaniy v zadache upravleniya kollektivom robotov // Mekhatronika, avtomatizatsiya, upravlenie. – 2009. – № 7. – S. 36-42.
Chentsov P.A. O zadache raspredeleniya zadaniy mezhdu uchastnikami s ogranicheniyami na vybor zadaniy // Vestnik komp'yuternykh i informatsionnykh tekhnologiy. – 2007. – № 7. – S. 52-56.
Lotov A.V., Pospelova I.I. Mnogokriterial'nye zadachi prinyatiya resheniya: Ucheb. posobie. – M: MAKS Press, 2008. – 197 s.
Tregubov V.M., Katasev A.S., Kirillov A.E., Alekseev A.A. Informatsionnaya tekhnologiya analiza i klassifikatsii elektronnykh dokumentov / Poisk effektivnykh resheniy v protsesse sozdaniya i realizatsii nauchnykh razrabotok v rossiyskoy aviatsionnoy i raketno-kosmicheskoy promyshlennosti. Mezhdunarodnaya nauchno-prakticheskaya konferentsiya. Kazan'. – 2014. – S. 345-348.
Katasev A.S., Kataseva D.V. Intellektual'nyy analiz vremennykh ryadov v sistemakh diagnostiki i podderzhki prinyatiya resheniy / Poisk effektivnykh resheniy v protsesse sozdaniya i realizatsii nauchnykh razrabotok v rossiyskoy aviatsionnoy i raketno-kosmicheskoy promyshlennosti Mezhdunarodnaya nauchno-prakticheskaya konferentsiya. Kazan'. – 2014. – S. 481-483.
Chernov V.G. Modeli podderzhki prinyatiya resheniĭ v investitsionnoĭ deyatel'nosti na osnove apparata nechetkikh mnozhestv. – M.: Goryachaya liniya – Telekom, 2006. – 255 s.
Anikin I.V., Kirpichnikov A.P., Talipov N.G. Otsenka effektivnosti deyatel'nosti upolnomochennogo organa po zashchite prav sub'ektov personal'nykh dannykh // Vestnik Kazanskogo tekhnologicheskogo universiteta. – 2015. – T. 18. – № 1. – S. 279-281.
Zmeev S.A., Selyutin I.N., Skryl' E.B., Nikitin A.A. Ratsional'nyy vybor sredstv zashchity pri strukturnom sinteze programmnykh sistem zashchity informatsii v sistemakh elektronnogo dokumentooborota // Vestnik Voronezhskogo instituta FSIN Rossii. – 2013. – № 2. – S. 55-59.
Alekseev A.A., Korablev Yu.A., Shestopalov M.Yu. Identifikatsiya i diagnostika sistem. – M: Izdatel'skiy tsentr «Akademiya», 2009. – 351 s.
Glova V.I., Katasev A.S., Kornilov G.S. Prednastroyka i optimizatsiya parametrov nechetkoy neyronnoy seti pri formirovanii baz znaniy ekspertnykh sistem // Informatsionnye tekhnologii. – 2010. – № 5. – S. 15-19.
Emaletdinova L.Yu., Kaynov A.S. Diskretnaya neyrosetevaya model' optimizatsii raspredeleniya zadaniy po neskol'kim komp'yuteram // Vestnik Kazanskogo gosudarstvennogo tekhnicheskogo universiteta im. A.N. Tupoleva. – 2007. – №1(46). – S. 80-83.
Katasev A.S., Abdulkhakov A.R. Reduktsiya nechetkikh pravil v zadache optimizatsii baz znaniy ekspertnykh sistem // Vestnik Kazanskogo gosudarstvennogo tekhnicheskogo universiteta im. A.N. Tupoleva. – 2012. – № 3. – S. 110-115.
Abdulkhakov A.R., Katasev A.S. Klasterno-geneticheskiy metod reduktsii baz znaniy intellektual'nykh sistem // Fundamental'nye issledovaniya. – 2015. – № 5-3. – S. 471-475.
Demidova L.A. Razvitie metodov teorii nechetkikh mnozhestv i geneticheskikh algoritmov dlya zadach podderzhki prinyatiya resheniĭ v usloviyakh neopredelennosti: teoretiko-metodologicheskoe issledovanie. Avtoreferat dissertatsii na soiskanie uchenoy stepeni dokt. tekhn. nauk. – Ryazan', 2009. – 39 s.
Katasev A.S. Modeli i metody formirovaniya nechetkikh pravil v intellektual'nykh sistemakh diagnostiki sostoyaniya slozhnykh ob'ektov // Dissertatsiya na soiskanie uchenoy stepeni doktora tekhnicheskikh nauk / Kazanskiy natsional'nyy issledovatel'skiy tekhnologicheskiy universitet. Kazan', 2014. – 256 s.
Rzaev R.R., Dzhamalov Z.R., Babaeva S.T., Rzaeva I.R. Otsenka finansovoy ustoychivosti kommercheskikh bankov nechetkim metodom maksiminnoy svertki i ikh ranzhirovanie // Matematicheskie mashiny i sistemy. – 2016. – № 1. – S. 79-88.
Postnikov V.M., Spiridonov S.B. Mnogokriterial'nyy vybor varianta resheniya na osnove additivnoy svertki pokazateley, yavlyayushchikhsya chlenami arifmeticheskikh progressiy // Nauka i obrazovanie: nauchnoe izdanie MGTU im. N.E. Baumana. 2015. № 11. S. 443-464.
Chernorutskiy I.G. Metody prinyatiya resheniy. – SPb.: BKhV-Peterburg, 2005. – 416 s.
Kovalev S.M., Lyashchenko A.M. Nechetko-produktsionnaya model' otsenki khodovykh svoystv ottsepov na osnove pertseptivnogo analiza vremennykh ryadov // Aktual'nye voprosy sovremennoy nauki. – 2013. – № 30-2. – S. 17-26.
Katasev A.S. Matematicheskoe i programmnoe obespechenie formirovaniya baz znaniy myagkikh ekspertnykh sistem diagnostiki sostoyaniya slozhnykh ob'ektov: monografiya. – Kazan': «Respublikanskiy tsentr monitoringa kachestva obrazovaniya», 2013. – 200 s., il.
Katasev A.S., Gazimova D.R. Invariantnaya nechetko-produktsionnaya model' predstavleniya znaniy v ekspertnykh sistemakh // Vestnik Kazanskogo gosudarstvennogo tekhnicheskogo universiteta im. A.N. Tupoleva. – 2011. – №1. – S. 142-148.
Katasev A.S., Emaletdinova L.Yu. Nechetko-produktsionnaya kaskadnaya model' diagnostiki sostoyaniya slozhnogo ob'ekta // Programmnye sistemy i vychislitel'nye metody. – 2013. – № 1. – S. 69-81.
Illarionov M.G. Primenenie metoda analiza ierarkhiy v prinyatii upravlencheskikh resheniy // Aktual'nye problemy ekonomiki i prava. – 2009. – № 1. – S. 37-42

References (transliteration):
Ivchenko V.D., Korneev A.A. Analiz metodov raspredeleniya zadaniy v zadache upravleniya kollektivom robotov // Mekhatronika, avtomatizatsiya, upravlenie. – 2009. – № 7. – S. 36-42.
Chentsov P.A. O zadache raspredeleniya zadaniy mezhdu uchastnikami s ogranicheniyami na vybor zadaniy // Vestnik komp'yuternykh i informatsionnykh tekhnologiy. – 2007. – № 7. – S. 52-56.
Lotov A.V., Pospelova I.I. Mnogokriterial'nye zadachi prinyatiya resheniya: Ucheb. posobie. – M: MAKS Press, 2008. – 197 s.
Tregubov V.M., Katasev A.S., Kirillov A.E., Alekseev A.A. Informatsionnaya tekhnologiya analiza i klassifikatsii elektronnykh dokumentov / Poisk effektivnykh resheniy v protsesse sozdaniya i realizatsii nauchnykh razrabotok v rossiyskoy aviatsionnoy i raketno-kosmicheskoy promyshlennosti. Mezhdunarodnaya nauchno-prakticheskaya konferentsiya. Kazan'. – 2014. – S. 345-348.
Katasev A.S., Kataseva D.V. Intellektual'nyy analiz vremennykh ryadov v sistemakh diagnostiki i podderzhki prinyatiya resheniy / Poisk effektivnykh resheniy v protsesse sozdaniya i realizatsii nauchnykh razrabotok v rossiyskoy aviatsionnoy i raketno-kosmicheskoy promyshlennosti Mezhdunarodnaya nauchno-prakticheskaya konferentsiya. Kazan'. – 2014. – S. 481-483.
Chernov V.G. Modeli podderzhki prinyatiya resheniĭ v investitsionnoĭ deyatel'nosti na osnove apparata nechetkikh mnozhestv. – M.: Goryachaya liniya – Telekom, 2006. – 255 s.
Anikin I.V., Kirpichnikov A.P., Talipov N.G. Otsenka effektivnosti deyatel'nosti upolnomochennogo organa po zashchite prav sub'ektov personal'nykh dannykh // Vestnik Kazanskogo tekhnologicheskogo universiteta. – 2015. – T. 18. – № 1. – S. 279-281.
Zmeev S.A., Selyutin I.N., Skryl' E.B., Nikitin A.A. Ratsional'nyy vybor sredstv zashchity pri strukturnom sinteze programmnykh sistem zashchity informatsii v sistemakh elektronnogo dokumentooborota // Vestnik Voronezhskogo instituta FSIN Rossii. – 2013. – № 2. – S. 55-59.
Alekseev A.A., Korablev Yu.A., Shestopalov M.Yu. Identifikatsiya i diagnostika sistem. – M: Izdatel'skiy tsentr «Akademiya», 2009. – 351 s.
Glova V.I., Katasev A.S., Kornilov G.S. Prednastroyka i optimizatsiya parametrov nechetkoy neyronnoy seti pri formirovanii baz znaniy ekspertnykh sistem // Informatsionnye tekhnologii. – 2010. – № 5. – S. 15-19.
Emaletdinova L.Yu., Kaynov A.S. Diskretnaya neyrosetevaya model' optimizatsii raspredeleniya zadaniy po neskol'kim komp'yuteram // Vestnik Kazanskogo gosudarstvennogo tekhnicheskogo universiteta im. A.N. Tupoleva. – 2007. – №1(46). – S. 80-83.
Katasev A.S., Abdulkhakov A.R. Reduktsiya nechetkikh pravil v zadache optimizatsii baz znaniy ekspertnykh sistem // Vestnik Kazanskogo gosudarstvennogo tekhnicheskogo universiteta im. A.N. Tupoleva. – 2012. – № 3. – S. 110-115.
Abdulkhakov A.R., Katasev A.S. Klasterno-geneticheskiy metod reduktsii baz znaniy intellektual'nykh sistem // Fundamental'nye issledovaniya. – 2015. – № 5-3. – S. 471-475.
Demidova L.A. Razvitie metodov teorii nechetkikh mnozhestv i geneticheskikh algoritmov dlya zadach podderzhki prinyatiya resheniĭ v usloviyakh neopredelennosti: teoretiko-metodologicheskoe issledovanie. Avtoreferat dissertatsii na soiskanie uchenoy stepeni dokt. tekhn. nauk. – Ryazan', 2009. – 39 s.
Katasev A.S. Modeli i metody formirovaniya nechetkikh pravil v intellektual'nykh sistemakh diagnostiki sostoyaniya slozhnykh ob'ektov // Dissertatsiya na soiskanie uchenoy stepeni doktora tekhnicheskikh nauk / Kazanskiy natsional'nyy issledovatel'skiy tekhnologicheskiy universitet. Kazan', 2014. – 256 s.
Rzaev R.R., Dzhamalov Z.R., Babaeva S.T., Rzaeva I.R. Otsenka finansovoy ustoychivosti kommercheskikh bankov nechetkim metodom maksiminnoy svertki i ikh ranzhirovanie // Matematicheskie mashiny i sistemy. – 2016. – № 1. – S. 79-88.
Postnikov V.M., Spiridonov S.B. Mnogokriterial'nyy vybor varianta resheniya na osnove additivnoy svertki pokazateley, yavlyayushchikhsya chlenami arifmeticheskikh progressiy // Nauka i obrazovanie: nauchnoe izdanie MGTU im. N.E. Baumana. 2015. № 11. S. 443-464.
Chernorutskiy I.G. Metody prinyatiya resheniy. – SPb.: BKhV-Peterburg, 2005. – 416 s.
Kovalev S.M., Lyashchenko A.M. Nechetko-produktsionnaya model' otsenki khodovykh svoystv ottsepov na osnove pertseptivnogo analiza vremennykh ryadov // Aktual'nye voprosy sovremennoy nauki. – 2013. – № 30-2. – S. 17-26.
Katasev A.S. Matematicheskoe i programmnoe obespechenie formirovaniya baz znaniy myagkikh ekspertnykh sistem diagnostiki sostoyaniya slozhnykh ob'ektov: monografiya. – Kazan': «Respublikanskiy tsentr monitoringa kachestva obrazovaniya», 2013. – 200 s., il.
Katasev A.S., Gazimova D.R. Invariantnaya nechetko-produktsionnaya model' predstavleniya znaniy v ekspertnykh sistemakh // Vestnik Kazanskogo gosudarstvennogo tekhnicheskogo universiteta im. A.N. Tupoleva. – 2011. – №1. – S. 142-148.
Katasev A.S., Emaletdinova L.Yu. Nechetko-produktsionnaya kaskadnaya model' diagnostiki sostoyaniya slozhnogo ob'ekta // Programmnye sistemy i vychislitel'nye metody. – 2013. – № 1. – S. 69-81.
Illarionov M.G. Primenenie metoda analiza ierarkhiy v prinyatii upravlencheskikh resheniy // Aktual'nye problemy ekonomiki i prava. – 2009. – № 1. – S. 37-42

Аннотация: The author reviews widely used in artificial intelligence systems AND-OR trees with specified parameters in the terminal arcs or vertices. The parameters are defined recursively on the decision trees with the use of continuous convolution functions monotone in each argument. The author solves a problem of enumerating convolution functions satisfying the system of restrictions on the parameters. Earlier a linear complexity and memory algorithm for the case of a single additive index was presented. But even for two parameters there is no polynomial-time algorithm for solving the problem. The author suggests two “branch and bound”  algorithms . The first algorithm implements a consistent selection of subtrees for allowable solutions using restrictions on separate parameters. The second algorithm can effectively cut off the unacceptable subtrees. The basis of the both algorithms is the concept of the minimum AND-OR tree subsest on monotonic restriction. The first algorithm is more applicable in the presence of a large number of solutions of the system of inequalities because it allows to choose the solutions as sets of AND-OR tree subtrees. The second algorithm is applicable in a case where the system of inequalities has a small number of solutions.

Ключевые слова: system of constraints, system of inequalities, decision tree, AND-OR tree, AND-OR graph, enumeration, algorithm, artificial intelligence systems, monotonic function, complexity of algorithm

Библиография:
Galochkin V. I. Perechislenie reshayushchikh derev'ev ogranichennoy stoimosti na I-ILI dereve // Programmnye sistemy i vychislitel'nye metody. 2014. № 1. S. 191 – 196. DOI: 10.7256/2305-6061.2014.2.11925.
Nikolaev S.A. Metod vetvey i granits dlya poiska tekhnicheskikh resheniy. // Avtomatizirovannye podsistemy poiskovogo konstruirovaniya: Mezhvuzovskiy sbornik. Gor'kiy: GGU, 1981. S. 139-144.
Kormen T. Kh. Algoritmy: postroenie i analiz, 2-e izd.: Per. s angl. / T. Kormen Ch. Layzerson, R. Rivest, K. Shtayn. M.: Izdatel'skiy dom ”Vil'yams”, 2005. 1296 s.
Reyngol'd, E. N. Kombinatornye algoritmy. Teoriya i praktika / E. Reyngol'd, Yu. Nivergel't N. Deo. M.: Mir, 1980. 476 s.
Kruchinin V.V. Metody postroeniya algoritmov generatsii i numeratsii kombinatornykh ob'ektov na osnove derev'ev I/ILI / V.V. Kruchinin. Tomsk: V-Spektr, 2007. 200 s.
Bratko, I. Programmirovanie na yazyke Prolog dlya iskusstvennogo intellekta / I. Bratko. M.: Mir, 1990. 560 s.
Nil'son N. Iskusstvennyy intellekt. Metody poiska resheniy / N. Nil'son. M.: Mir, 1973. 270 s.
Avtomatizatsiya poiskovogo konstruirovaniya / A.I. Polovinkin, N.K. Bobkov, G.Ya. Bush i dr. Pod red. A.I. Polovinkina. M.: Radio i svyaz', 1981. 344 s.

References (transliteration):
Galochkin V. I. Perechislenie reshayushchikh derev'ev ogranichennoy stoimosti na I-ILI dereve // Programmnye sistemy i vychislitel'nye metody. 2014. № 1. S. 191 – 196. DOI: 10.7256/2305-6061.2014.2.11925.
Nikolaev S.A. Metod vetvey i granits dlya poiska tekhnicheskikh resheniy. // Avtomatizirovannye podsistemy poiskovogo konstruirovaniya: Mezhvuzovskiy sbornik. Gor'kiy: GGU, 1981. S. 139-144.
Kormen T. Kh. Algoritmy: postroenie i analiz, 2-e izd.: Per. s angl. / T. Kormen Ch. Layzerson, R. Rivest, K. Shtayn. M.: Izdatel'skiy dom ”Vil'yams”, 2005. 1296 s.
Reyngol'd, E. N. Kombinatornye algoritmy. Teoriya i praktika / E. Reyngol'd, Yu. Nivergel't N. Deo. M.: Mir, 1980. 476 s.
Kruchinin V.V. Metody postroeniya algoritmov generatsii i numeratsii kombinatornykh ob'ektov na osnove derev'ev I/ILI / V.V. Kruchinin. Tomsk: V-Spektr, 2007. 200 s.
Bratko, I. Programmirovanie na yazyke Prolog dlya iskusstvennogo intellekta / I. Bratko. M.: Mir, 1990. 560 s.
Nil'son N. Iskusstvennyy intellekt. Metody poiska resheniy / N. Nil'son. M.: Mir, 1973. 270 s.
Avtomatizatsiya poiskovogo konstruirovaniya / A.I. Polovinkin, N.K. Bobkov, G.Ya. Bush i dr. Pod red. A.I. Polovinkina. M.: Radio i svyaz', 1981. 344 s.

Аннотация: Achieving the objective conditions of functioning institutions, socio-economic systems it is inextricably linked to improving the efficiency of the work of individual artists. The most important role is occupied by the complex questions of assessment activities, the rational choice of metrics. In other words, any evaluation system must implement a certain paradigm of the process approach - effective management is possible only if quality measurements. Initially, any rating system should provide some degree of freedom, which allows you to quickly adapt to changing operating conditions.The article examines the creation of rating systems based on the principle of an open (agreed) management . Architecture of the system variable, focused on the use of agile software development , in which the major subsystems interact with each other through interfaces . The basic idea is to use a two-stage approval procedures and metrics objects activity in each period of the system. On the one hand, this approach allows you to refine and specify the metric used on the new range planning based on previous experience. On the other hand, in the control loop feedback appears to the actual perpetrators of that form applications centered, tailored to their needs, wishes and preferences. The system evolves with each new stage of its activity, new elements are introduced and the conditions that allow to actualize the past experience, the new range planning. Thus, the artists performed directly involved in the formation of corrective actions.The purpose of using open controls in the rating systems is to create the architecture of changing the system , where the main participants are motivated to make changes. The changes are necessary because the human, social and economic groups are on the move and constantly evolving.

Ключевые слова: management teams, multi-level system, evaluation, open management principle, the agreed principle of management, the working efficiency, rating system, multiagent organizational systems, active systems, organizational systems

Библиография:
Dobrynin A.S. Model' nepolnogo zhiznennogo tsikla programmnogo obespecheniya / A.S. Dobrynin, R.S. Koynov, S.M. Kulakov // Vestnik AGTU. Seriya: Upravlenie, vychislitel'naya tekhnika i informatika. 2015. № 2. S. 65-69. – Bibliogr.: s. 69 (9 nazv.).
Simon, Mark. Dependency Injection in.NET. SPb.: Piter, 2013. 464 s. S. 58-65
Bek K., Fauler M. Ekstremal'noe programmirovanie: Planirovanie // Biblioteka programmista SPb.: Piter, 2003. 215 s. S. 162-170.
Skopin I.N. Ponyatiya i modeli zhiznennogo tsikla programmnogo obespecheniya: Uch. posobie. Novosib. gos. un-t. Novosibirsk, 2003. s. 87. S. 47-48.
Bruks, Piter. Metriki dlya upravleniya IT-uslugami: Al'pina Pablisher, 2008. 288 s. il. S. 28-105.
Novikov D.A. Teoriya upravleniya organizatsionnymi sistemami. M.: MPSI, 2005. 584 s. S. 109-153.
Burkov V.N., Novikov D.A. Teoriya aktivnykh sistem: sostoyanie i perspektivy. M.: Sinteg, 1999. 128 s. S. 11-25.
Teoriya igr i ekonomicheskoe povedenie / O. Morgenshtern, Dzh. fon Neyman M.: Kniga po Trebovaniyu, 2012. 708 s. S. 35-39.
Svidetel'stvo o gosudarstvennoy registratsii programmy dlya EVM № 2014662362 Rossiyskaya Federatsiya. Sistema monitoringa effektivnosti deyatel'nosti universiteta / Lyakhovets M.V., Koynov R.S., Milovanov M.M., Dobrynin A.S.; pravoobladatel' Sib. gos. industr. un-t. № 2014660244; zayavl. 09.10.14; zaregistr. 27.11.14. - 1S.

References (transliteration):
Dobrynin A.S. Model' nepolnogo zhiznennogo tsikla programmnogo obespecheniya / A.S. Dobrynin, R.S. Koynov, S.M. Kulakov // Vestnik AGTU. Seriya: Upravlenie, vychislitel'naya tekhnika i informatika. 2015. № 2. S. 65-69. – Bibliogr.: s. 69 (9 nazv.).
Simon, Mark. Dependency Injection in.NET. SPb.: Piter, 2013. 464 s. S. 58-65
Bek K., Fauler M. Ekstremal'noe programmirovanie: Planirovanie // Biblioteka programmista SPb.: Piter, 2003. 215 s. S. 162-170.
Skopin I.N. Ponyatiya i modeli zhiznennogo tsikla programmnogo obespecheniya: Uch. posobie. Novosib. gos. un-t. Novosibirsk, 2003. s. 87. S. 47-48.
Bruks, Piter. Metriki dlya upravleniya IT-uslugami: Al'pina Pablisher, 2008. 288 s. il. S. 28-105.
Novikov D.A. Teoriya upravleniya organizatsionnymi sistemami. M.: MPSI, 2005. 584 s. S. 109-153.
Burkov V.N., Novikov D.A. Teoriya aktivnykh sistem: sostoyanie i perspektivy. M.: Sinteg, 1999. 128 s. S. 11-25.
Teoriya igr i ekonomicheskoe povedenie / O. Morgenshtern, Dzh. fon Neyman M.: Kniga po Trebovaniyu, 2012. 708 s. S. 35-39.
Svidetel'stvo o gosudarstvennoy registratsii programmy dlya EVM № 2014662362 Rossiyskaya Federatsiya. Sistema monitoringa effektivnosti deyatel'nosti universiteta / Lyakhovets M.V., Koynov R.S., Milovanov M.M., Dobrynin A.S.; pravoobladatel' Sib. gos. industr. un-t. № 2014660244; zayavl. 09.10.14; zaregistr. 27.11.14. - 1S.

Аннотация: The research question is the semantic relatedness of terms. The target of research is measure the semantic relatedness of terms. The authors consider such aspects as the rationale for the choice of the theme of background knowledge, the construction of a graph of links and measurement of relatedness between concepts. In earlier studies the authors of semantic proximity is calculated based on the statistical characteristics using different contextual analysis methods, such as latent semantic analysis. This work is the first experience with the reference methods for determining a semantic relatedness. Therefore, the focus placed on ease of calculation steps. Evaluation semantic similarity is based on the WLM method and proximity measure for separate types of references of M. I. Varlamov, A.V. Korshunov. In contrast to the well-known measures of semantic proximity, based on the use of Wikipedia proposed in the measure uses a simple links Wikipedia articles such as "See. Also" and "Links". This approach allows us to raise the performance of the algorithm and is designed for use in applications requiring high accuracy of the result is not, and better performance of the algorithm. These tasks include establishing a correspondence between the competencies and educational standard annotations disciplines of the curriculum or the task of analyzing the students' answers to the open questions in the form. The developed measure is cheap, reasonably accurate and accessible.

Ключевые слова: link, structure of article of Wikipedia, the database of Wikipedia, background knowledge, semantic similarity of concepts, concept, link graph, distance between concepts, count indexing, link-based Measure

Библиография:
Witten I., Milne D. An effective, low-cost measure of semantic relatedness obtained from Wikipedia links // Proceeding of AAAI Workshop on Wikipedia and Artificial Intelligence: an Evolving Synergy, AAAI Press, Chicago, USA. 2008. R. 25-30
Turdakov D.Yu. Texterra: infrastruktura dlya analiza tekstov / D.Yu. Trudakov i dr. // Trudy Instituta sistemnogo programmirovaniya RAN. 2014. T. 26. Vyp. 1. S. 421-438.
Russkaya Vikipediya [Elektronnyy resurs]. – URL: https://ru.wikipedia.org/wiki/Russkaya_Vikipediya (data obrashcheniya: 20.06.2016).
Varlamov M.I. Raschet semanticheskoy blizosti kontseptov na osnove kratchayshikh putey v grafe ssylok Vikipedii [Elektronnyy resurs]: prezentatsiya / M.I. Varlamov, A.V. Korshunov // URL: www.machinelearning.ru/wiki/images/f/fd/Varlamov2014iip.pdf (data obrashcheniya: 20.06.2016).
Varlamov M.I. Raschet semanticheskoy blizosti kontseptov na osnove kratchayshikh putey v grafe ssylok Vikipedii / M.I. Varlamov, A.V. Korshunov // Mashinnoe obuchenie i analiz dannykh. 2014. T. 1. № 8. S. 1107-1125.
Angliyskaya Vikipediya [Elektronnyy resurs]. – URL: https://ru.wikipedia.org/wiki/Angliyskaya_Vikipediya (data obrashcheniya: 20.06.2016).
Anisimov A.V. Metod vychisleniya semanticheskoy blizosti-svyaznosti mezhdu slovami estestvennogo yazyka / A.V. Anisimov, A.A. Marchenko, V.K. Kisenko // Kibernetika i sistemnyy analiz. 2011. № 4. S.18-27.

References (transliteration):
Witten I., Milne D. An effective, low-cost measure of semantic relatedness obtained from Wikipedia links // Proceeding of AAAI Workshop on Wikipedia and Artificial Intelligence: an Evolving Synergy, AAAI Press, Chicago, USA. 2008. R. 25-30
Turdakov D.Yu. Texterra: infrastruktura dlya analiza tekstov / D.Yu. Trudakov i dr. // Trudy Instituta sistemnogo programmirovaniya RAN. 2014. T. 26. Vyp. 1. S. 421-438.
Russkaya Vikipediya [Elektronnyy resurs]. – URL: https://ru.wikipedia.org/wiki/Russkaya_Vikipediya (data obrashcheniya: 20.06.2016).
Varlamov M.I. Raschet semanticheskoy blizosti kontseptov na osnove kratchayshikh putey v grafe ssylok Vikipedii [Elektronnyy resurs]: prezentatsiya / M.I. Varlamov, A.V. Korshunov // URL: www.machinelearning.ru/wiki/images/f/fd/Varlamov2014iip.pdf (data obrashcheniya: 20.06.2016).
Varlamov M.I. Raschet semanticheskoy blizosti kontseptov na osnove kratchayshikh putey v grafe ssylok Vikipedii / M.I. Varlamov, A.V. Korshunov // Mashinnoe obuchenie i analiz dannykh. 2014. T. 1. № 8. S. 1107-1125.
Angliyskaya Vikipediya [Elektronnyy resurs]. – URL: https://ru.wikipedia.org/wiki/Angliyskaya_Vikipediya (data obrashcheniya: 20.06.2016).
Anisimov A.V. Metod vychisleniya semanticheskoy blizosti-svyaznosti mezhdu slovami estestvennogo yazyka / A.V. Anisimov, A.A. Marchenko, V.K. Kisenko // Kibernetika i sistemnyy analiz. 2011. № 4. S.18-27.

Аннотация: The subject of the article is the current state, problematic issues and promising field of research of bio heuristics for solving optimization problems. Bio heuristics are mathematical transformations of the input stream to the output data based on simulation mechanisms of evolution, natural analogies, on a statistical approach to the study of situations and iterative approximation to the desired solution. Currently, bio heuristics have become an important tool for finding close to optimal solutions of problems which earlier were considered unsolvable. The methodological and theoretical bases of the scoping study are optimization techniques and decision making support methods, artificial intelligence, evolutionary computation theory. The article analyzes the fundamental results obtained in the field of bio-heuristic optimization algorithms: Holland theorem and TAD-theorem. The article establishes patterns and structure of bio heuristics, especially coding solutions, basic cycle of bio heuristics algorithms. The study reviews a promising direction in the analysis time of the biological cognitive heuristics - drift analysis.

Ключевые слова: evolution operator, evolutionary computation, optimization, metaheuristics, cognitive bioinspired algorithm, NFL-theorem, drift analysis, fitness function, programming, modeling

Библиография:
Rodzin S., Rodzina L. Theory of bionic optimization and its application to evolutionary synthesis of digital devices // Proc. of the 14th IEEE east-west design & test symposium (EWDTS'14), 2014. pp. 147–152.
Jansen T. Fixed budget computations: why, how and what? // Proc. of Dagstuhl seminar on theory of evolutionary algorithms, 2013. pp. 1325–1332.
He J., Yao X. Drift analysis and average time complexity of evolutionary algorithms // Artificial intelligence. 2001. Vol. 127. no. 1. pp. 57–85.
Eberhart R., Shi Yu., Kennedy J. Swarm intelligence. Morgan Kaufmann, 2010. 512 r.
Rodzin S. Smart dispatching and metaheuristic swarm flow algorithm // Jour. of computer and systems sciences international. 2014. Vol. 53. no. 1. pp. 109–115.
Wolpert D.H., Macready W.G. The no free lunch theorems for optimization // IEEE Trans. evol. comp. 1997. no. 1. pp.67–82.
Kureychik V.V., Kureychik V.M., Rodzin S.I. Teoriya evolyutsionnykh vychisleniy. M.: Fizmatlit, 2012. 260 s.
Goldberg D.E. Genetic algorithms in search, optimization, and machine learning. USA: Addison–Wesley publishing company, inc., 1989. 432 r.
Gladkov L.A., Kureychik V.V., Kureychik V.M., Sorokaletov P.V. Bioinspirirovannye metody v optimizatsii. M.: Fizmatlit, 2009. 380 s.
Kureychik V.M., Rodzin S.I. Evolyutsionnye algoritmy: geneticheskoe programmirovanie (obzor) // Izvestiya RAN. Teoriya i sistemy upravleniya. 2002. № 1. S. 127–137.
Dorigo M. Optimization, learning and natural algorithms. PhD thesis, Politecnico di Milano, Italy, 1992. 152 r.
Moscato P. On evolution, search, optimization, genetic algorithms and martial arts: towards memetic algorithms // Caltech concurrent computation program, 1989. Report 826.
Glover F. Future paths for integer programming and links to artificial intelligence // Computers and operations research. 1986. no. 13. pp.533–549.
Holland J.H. Adaptation in natural and artificial systems. Uni of Michigan press, 1975. P. 45.
Smith S.F. A Learning system based on genetic adaptive algorithms. PhD thesis, Uni of Pittsburgh, 1980. P. 21.
Kirkpatrick S., Gelatt Jr. C.D., Vecchi M.P. Optimization by simulated annealing // Science. 1983. no. 220. pp. 671–680.
Nelder J.A., Mead R. A simplex method for function minimization // Computer journal. 1965. no. 7. pp. 308–313.
Kernighan B.W., Lin S. An efficient heuristic procedure for partitioning graphs // Bell system technical journal. 1970. no. 49. pp. 291–307.
Fogel L., Owens A.J., Walsh M.J. Artificial intelligence through simulated evolution. Wiley, 1966. 452 r.
Rastrigin L.A. The convergence of the random search method in the extremal control of a many parameter system // Automation and remote control. 1963. no. 24(10). pp. 1337–1342.
Doerr B., Goldberg L. Adaptive drift analysis // Algorithmica. 2013. Vol. 65, no. 1. pp. 224–250.

References (transliteration):
Rodzin S., Rodzina L. Theory of bionic optimization and its application to evolutionary synthesis of digital devices // Proc. of the 14th IEEE east-west design & test symposium (EWDTS'14), 2014. pp. 147–152.
Jansen T. Fixed budget computations: why, how and what? // Proc. of Dagstuhl seminar on theory of evolutionary algorithms, 2013. pp. 1325–1332.
He J., Yao X. Drift analysis and average time complexity of evolutionary algorithms // Artificial intelligence. 2001. Vol. 127. no. 1. pp. 57–85.
Eberhart R., Shi Yu., Kennedy J. Swarm intelligence. Morgan Kaufmann, 2010. 512 r.
Rodzin S. Smart dispatching and metaheuristic swarm flow algorithm // Jour. of computer and systems sciences international. 2014. Vol. 53. no. 1. pp. 109–115.
Wolpert D.H., Macready W.G. The no free lunch theorems for optimization // IEEE Trans. evol. comp. 1997. no. 1. pp.67–82.
Kureychik V.V., Kureychik V.M., Rodzin S.I. Teoriya evolyutsionnykh vychisleniy. M.: Fizmatlit, 2012. 260 s.
Goldberg D.E. Genetic algorithms in search, optimization, and machine learning. USA: Addison–Wesley publishing company, inc., 1989. 432 r.
Gladkov L.A., Kureychik V.V., Kureychik V.M., Sorokaletov P.V. Bioinspirirovannye metody v optimizatsii. M.: Fizmatlit, 2009. 380 s.
Kureychik V.M., Rodzin S.I. Evolyutsionnye algoritmy: geneticheskoe programmirovanie (obzor) // Izvestiya RAN. Teoriya i sistemy upravleniya. 2002. № 1. S. 127–137.
Dorigo M. Optimization, learning and natural algorithms. PhD thesis, Politecnico di Milano, Italy, 1992. 152 r.
Moscato P. On evolution, search, optimization, genetic algorithms and martial arts: towards memetic algorithms // Caltech concurrent computation program, 1989. Report 826.
Glover F. Future paths for integer programming and links to artificial intelligence // Computers and operations research. 1986. no. 13. pp.533–549.
Holland J.H. Adaptation in natural and artificial systems. Uni of Michigan press, 1975. P. 45.
Smith S.F. A Learning system based on genetic adaptive algorithms. PhD thesis, Uni of Pittsburgh, 1980. P. 21.
Kirkpatrick S., Gelatt Jr. C.D., Vecchi M.P. Optimization by simulated annealing // Science. 1983. no. 220. pp. 671–680.
Nelder J.A., Mead R. A simplex method for function minimization // Computer journal. 1965. no. 7. pp. 308–313.
Kernighan B.W., Lin S. An efficient heuristic procedure for partitioning graphs // Bell system technical journal. 1970. no. 49. pp. 291–307.
Fogel L., Owens A.J., Walsh M.J. Artificial intelligence through simulated evolution. Wiley, 1966. 452 r.
Rastrigin L.A. The convergence of the random search method in the extremal control of a many parameter system // Automation and remote control. 1963. no. 24(10). pp. 1337–1342.
Doerr B., Goldberg L. Adaptive drift analysis // Algorithmica. 2013. Vol. 65, no. 1. pp. 224–250.

Аннотация: One of the problems hampering the development of the active use of renewable energy is to determine the optimal placement of wind and solar power plants on the earth's surface. The paper presents a model for predicting the level of solar energy in the region allowing choosing the most effective location for solar power location. The forecast of the level of solar energy is given using an artificial neural network of direct distribution educated on the basis of meteorological stations data using the back-propagation algorithm. Designing a neural network was carried out with the Neural Network Toolbox package of MATLAB 8.6 (R2015b). Comparison of results of forecasting solar energy performed by artificial neural network level with the current values shows a good correlation. This confirms the possibility of using artificial neural networks for modeling and forecasting in regions where there are no data on the level of solar energy, but some other data of meteorological stations is present.

Ключевые слова: alternative power engineering, prediction, error back propagation, multilayer perceptron, modeling, artificial neural network, solar energy, feedforward network, supervised learning, resource map

Библиография:
Kruglov V.V., Borisov V.V. Iskusstvennye neyronnye seti. Teoriya i praktika. - M.: Goryachaya liniya - Telekom, 2001. - 382 s.
Izmerenie solnechnogo izlucheniya v solnechnoy energetike. [Elektronnyy resurs] http://www.kippzonen.com/Download/672/Solar-Energy-Guide-Russian (data obrashcheniya: 13.02.2016).
Sozen A., Arcaklioglu E., Ozalp M., Kanit E.G. Use of Artificial neural network for mapping of solar potential in Turkey. Applied Energy, 2004, Vol. 77, No. 3, pp. 273–286.
Mustafaev A.G. Primenenie iskusstvennykh neyronnykh setey dlya ranney diagnostiki zabolevaniya sakharnym diabetom // Kibernetika i programmirovanie. — 2016. - № 2. - S.1-7. DOI: 10.7256/2306-4196.2016.2.17904. URL: http://e-notabene.ru/kp/article_17904.html
Ahmed M., Ahmad F., Wasim M. Estimation of global and diffuse solar radiation for Hyderabad, Sindh, Pakistan, Journal of Basic and Applied Sciences, 2009, Vol. 5, No. 2, pp. 73-77.
Nauchno-prikladnoy spravochnik «Klimat Rossii». [Elektronnyy resurs] http://aisori.meteo.ru/ClspR (data obrashcheniya: 14.02.2016).
Tsaregorodtsev V.G. Optimizatsiya predobrabotki dannykh: konstanta Lipshitsa obuchayushchey vyborki i svoystva obuchennykh neyronnykh setey // Neyrokomp'yutery: razrabotka, primenenie. 2003, №7. - S.3-8.
Osovskiy S. Neyronnye seti dlya obrabotki informatsii. — M.: Finansy i statistika, 2002. — 344 s.
Galushkin A. Neyronnye seti. Osnovy teorii. Goryachaya Liniya – Telekom, 2012. - 496 s.

References (transliteration):
Kruglov V.V., Borisov V.V. Iskusstvennye neyronnye seti. Teoriya i praktika. - M.: Goryachaya liniya - Telekom, 2001. - 382 s.
Izmerenie solnechnogo izlucheniya v solnechnoy energetike. [Elektronnyy resurs] http://www.kippzonen.com/Download/672/Solar-Energy-Guide-Russian (data obrashcheniya: 13.02.2016).
Sozen A., Arcaklioglu E., Ozalp M., Kanit E.G. Use of Artificial neural network for mapping of solar potential in Turkey. Applied Energy, 2004, Vol. 77, No. 3, pp. 273–286.
Mustafaev A.G. Primenenie iskusstvennykh neyronnykh setey dlya ranney diagnostiki zabolevaniya sakharnym diabetom // Kibernetika i programmirovanie. — 2016. - № 2. - S.1-7. DOI: 10.7256/2306-4196.2016.2.17904. URL: http://e-notabene.ru/kp/article_17904.html
Ahmed M., Ahmad F., Wasim M. Estimation of global and diffuse solar radiation for Hyderabad, Sindh, Pakistan, Journal of Basic and Applied Sciences, 2009, Vol. 5, No. 2, pp. 73-77.
Nauchno-prikladnoy spravochnik «Klimat Rossii». [Elektronnyy resurs] http://aisori.meteo.ru/ClspR (data obrashcheniya: 14.02.2016).
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Osovskiy S. Neyronnye seti dlya obrabotki informatsii. — M.: Finansy i statistika, 2002. — 344 s.
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Аннотация: The subject of research is the development of intelligent information and measuring systems for ergometric testing the flight personnel of maneuverable aircraft. The authors reviews the technical and ergonomic requirements for the modernization of an isometric exerciser for leg muscles and abdominals used in ground training of flight crews to the conditions of the flight and maneuvers and for the medical-flight examination. The above requirements are implemented in the hardware-software complex for ergometric testing which is a special information-measuring system essential for the safety of maneuvering flight. The following methods were used in the study: methods of systems analysis, software engineering, designing software and hardware for medical purposes, the theory of reliability, aviation cybernetics. The main conclusion of the study is in formulating a set of reasonable engineering solutions for creating an intelligent information and measuring system for ergometric tests of flight personnel of maneuverable aircraft. The proposed solutions were formulated considering the needs of the practice of aviation medicine  and combine the latest achievements in the field of medical equipment, aviation medicine and software engineering, and, as shown by experimental testing, meet the needs of the practice.

Ключевые слова: automation of medical examinations, flight safety, hardware and software system, ergatic system, aviation ergonomics, intelligent medical systems, maneuverable flight, medical-flight examination, software engineering, information-measuring system

Библиография:
Glinkin E.I. Metod izmereniya arterial'nogo davleniya // Vestnik Tambovskogo universiteta. Estestvennye i tekhnicheskie nauki. 2015, № 1. S. 258-261
Lukash A.A., Dimitriev Yu.V., Zhitnikov A.G. Metody ergonomicheskogo obespecheniya razrabotki sistem upravleniya ergaticheskikh kompleksov // Trendy i upravlenie. - 2015. - 2. - C. 154 - 161. DOI: 10.7256/2307-9118.2015.2.14472.
Maryashin Yu.E., Malashchuk L.S., Filatov V.N. Otsenka effektivnosti kompleksa spetsial'nykh uprazhneniy, napravlennykh na povyshenie ustoychivosti letchikov vysokomanevrennykh samoletov k pilotazhnym peregruzkam // Voenno–meditsinskiy zhurnal. 2014. T. 335. № 1. S. 54–55.
Nikiforov D.A., Vorona A.A., Bogomolov A.V., Kukushkin Yu.A. Metodika otsenivaniya potentsial'noy nenadezhnosti deystviy letchika // Bezopasnost' zhiznedeyatel'nosti. 2015. № 7 (175). S. 7–16.
Mikhaylov V.M. Nagruzochnoe testirovanie pod kontrolem EKG. Ivanovo: Neyrosoft, 2008. 439 s.
Ushakov I.B., Vorona A.A., Kukushkin Yu.A., Bogomolov A.V. Apparatno–programmnye kompleksy dlya mediko–psikhologicheskogo obespecheniya kontrolya nadezhnosti professional'noy deyatel'nosti cheloveka v usloviyakh vysokogo riska vozniknoveniya chrezvychaynoy situatsii // Bezopasnost' zhiznedeyatel'nosti. 2004. № 3. S. 8.
Metodiki issledovaniy v tselyakh vrachebno–letnoy ekspertizy. M.: Voenizdat, 1995. 452 s.
Ponomarenko V.A. Psikhologiya chelovecheskogo faktora v opasnoy professii. Krasnoyarsk. 2006. 282 s.
Migachev S.D., Khomenko M.N. Ustroystvo dlya trenirovki myshts Patent na izobretenie RU №2097835, opubl. 27.11.1997.
Bukhtiyarov I.V., Kukushkin Yu.A., Bogomolov A.V., Vasil'ev A.Yu., Yadov V.V. Otsenka kumulyativnykh effektov vliyaniya pilotazhnykh peregruzok na sheynyy otdel pozvonochnika metodom meta–analiza // Aviakosmicheskaya i ekologicheskaya meditsina. 2001. T. 35. № 3. S. 18–24.
Malashchuk L.S., Filatov V.N. Problemnye voprosy issledovaniya perenosimosti letnym sostavom radial'nykh uskoreniy // Problemy bezopasnosti poletov. 2013. № 9. S. 6-11.
Stupakov G.P., Singaevskiy V.N., Turzin P.S. Meditsinskie i ekologo–ergonomicheskie osnovy povysheniya effektivnosti i bezopasnosti poletov. Moskva: Ginfo, 2000.
Filatov V.N., Shishov A.A., Olenev N.I. Prioritetnye napravleniya sovershenstvovaniya sistemy psikhofiziologicheskoy podgotovki letnogo sostava manevrennoy aviatsii // Polet. Obshcherossiyskiy nauchno–tekhnicheskiy zhurnal. 2013. № 9. S. 45–50.
Shibanov G.P. Analiz vzaimodeystviya komponentov sistemy "letchik–letatel'nyy apparat–sreda" // Polet. Obshcherossiyskiy nauchno–tekhnicheskiy zhurnal. 2012. № 4. S. 3–8.
Shibanov G.P. Otsenka effektivnosti vnedreniya novykh tekhnologiy v perspektivnye aviatsionnye kompleksy // Avtomatizatsiya. Sovremennye tekhnologii. 2015. № 8. S. 37–40.
Bukhtiyarov I.V., Zhdan'ko I.M., Filatov V.N., Shishov A.A., Olenev N.I. Obosnovanie oblika tsentra psikhofiziologicheskoy podgotovki letnogo sostava Voenno–vozdushnykh sil Rossii // Oboronnyy kompleks – nauchno–tekhnicheskomu progressu Rossii. 2014. № 2 (122). S. 86–91.
Shibanov G.P. Sozdanie nauchno–tekhnologicheskogo i proizvodstvennogo zadelov dlya izgotovleniya perspektivnykh obraztsov aviatekhniki // Polet. Obshcherossiyskiy nauchno–tekhnicheskiy zhurnal. 2015. № 4 (4). S. 23–29.
Blaginin A.A., Lizogub I.N., Sinel'nikov S.N., Zhil'tsova I.I. Perspektivnye napravleniya razvitiya aviatsionnoy i kosmicheskoy meditsiny Rossii // Vestnik Rossiyskoy voenno–meditsinskoy akademii. 2014. № 1 (45). S. 184–186.
Bondarenko A.G., Kharitonov V.V., Solovey Yu.N. Ergonomicheskaya optimizatsiya obuchayushchey sredy pri podgotovke aviatsionnykh spetsialistov s ispol'zovaniem komp'yuternykh sistem // Trendy i upravlenie. - 2015. - 3. - C. 301 - 317. DOI: 10.7256/2307-9118.2015.3.15898.

References (transliteration):
Glinkin E.I. Metod izmereniya arterial'nogo davleniya // Vestnik Tambovskogo universiteta. Estestvennye i tekhnicheskie nauki. 2015, № 1. S. 258-261
Lukash A.A., Dimitriev Yu.V., Zhitnikov A.G. Metody ergonomicheskogo obespecheniya razrabotki sistem upravleniya ergaticheskikh kompleksov // Trendy i upravlenie. - 2015. - 2. - C. 154 - 161. DOI: 10.7256/2307-9118.2015.2.14472.
Maryashin Yu.E., Malashchuk L.S., Filatov V.N. Otsenka effektivnosti kompleksa spetsial'nykh uprazhneniy, napravlennykh na povyshenie ustoychivosti letchikov vysokomanevrennykh samoletov k pilotazhnym peregruzkam // Voenno–meditsinskiy zhurnal. 2014. T. 335. № 1. S. 54–55.
Nikiforov D.A., Vorona A.A., Bogomolov A.V., Kukushkin Yu.A. Metodika otsenivaniya potentsial'noy nenadezhnosti deystviy letchika // Bezopasnost' zhiznedeyatel'nosti. 2015. № 7 (175). S. 7–16.
Mikhaylov V.M. Nagruzochnoe testirovanie pod kontrolem EKG. Ivanovo: Neyrosoft, 2008. 439 s.
Ushakov I.B., Vorona A.A., Kukushkin Yu.A., Bogomolov A.V. Apparatno–programmnye kompleksy dlya mediko–psikhologicheskogo obespecheniya kontrolya nadezhnosti professional'noy deyatel'nosti cheloveka v usloviyakh vysokogo riska vozniknoveniya chrezvychaynoy situatsii // Bezopasnost' zhiznedeyatel'nosti. 2004. № 3. S. 8.
Metodiki issledovaniy v tselyakh vrachebno–letnoy ekspertizy. M.: Voenizdat, 1995. 452 s.
Ponomarenko V.A. Psikhologiya chelovecheskogo faktora v opasnoy professii. Krasnoyarsk. 2006. 282 s.
Migachev S.D., Khomenko M.N. Ustroystvo dlya trenirovki myshts Patent na izobretenie RU №2097835, opubl. 27.11.1997.
Bukhtiyarov I.V., Kukushkin Yu.A., Bogomolov A.V., Vasil'ev A.Yu., Yadov V.V. Otsenka kumulyativnykh effektov vliyaniya pilotazhnykh peregruzok na sheynyy otdel pozvonochnika metodom meta–analiza // Aviakosmicheskaya i ekologicheskaya meditsina. 2001. T. 35. № 3. S. 18–24.
Malashchuk L.S., Filatov V.N. Problemnye voprosy issledovaniya perenosimosti letnym sostavom radial'nykh uskoreniy // Problemy bezopasnosti poletov. 2013. № 9. S. 6-11.
Stupakov G.P., Singaevskiy V.N., Turzin P.S. Meditsinskie i ekologo–ergonomicheskie osnovy povysheniya effektivnosti i bezopasnosti poletov. Moskva: Ginfo, 2000.
Filatov V.N., Shishov A.A., Olenev N.I. Prioritetnye napravleniya sovershenstvovaniya sistemy psikhofiziologicheskoy podgotovki letnogo sostava manevrennoy aviatsii // Polet. Obshcherossiyskiy nauchno–tekhnicheskiy zhurnal. 2013. № 9. S. 45–50.
Shibanov G.P. Analiz vzaimodeystviya komponentov sistemy "letchik–letatel'nyy apparat–sreda" // Polet. Obshcherossiyskiy nauchno–tekhnicheskiy zhurnal. 2012. № 4. S. 3–8.
Shibanov G.P. Otsenka effektivnosti vnedreniya novykh tekhnologiy v perspektivnye aviatsionnye kompleksy // Avtomatizatsiya. Sovremennye tekhnologii. 2015. № 8. S. 37–40.
Bukhtiyarov I.V., Zhdan'ko I.M., Filatov V.N., Shishov A.A., Olenev N.I. Obosnovanie oblika tsentra psikhofiziologicheskoy podgotovki letnogo sostava Voenno–vozdushnykh sil Rossii // Oboronnyy kompleks – nauchno–tekhnicheskomu progressu Rossii. 2014. № 2 (122). S. 86–91.
Shibanov G.P. Sozdanie nauchno–tekhnologicheskogo i proizvodstvennogo zadelov dlya izgotovleniya perspektivnykh obraztsov aviatekhniki // Polet. Obshcherossiyskiy nauchno–tekhnicheskiy zhurnal. 2015. № 4 (4). S. 23–29.
Blaginin A.A., Lizogub I.N., Sinel'nikov S.N., Zhil'tsova I.I. Perspektivnye napravleniya razvitiya aviatsionnoy i kosmicheskoy meditsiny Rossii // Vestnik Rossiyskoy voenno–meditsinskoy akademii. 2014. № 1 (45). S. 184–186.
Bondarenko A.G., Kharitonov V.V., Solovey Yu.N. Ergonomicheskaya optimizatsiya obuchayushchey sredy pri podgotovke aviatsionnykh spetsialistov s ispol'zovaniem komp'yuternykh sistem // Trendy i upravlenie. - 2015. - 3. - C. 301 - 317. DOI: 10.7256/2307-9118.2015.3.15898.

Аннотация: The authors study urgent problem of analysis and evaluation of workflow in an organization. The work proved the need for complex analysis of records management system in any organization. The authors formulate the basic objectives of the study and suggest using of an Automated Information System to analyze the workflow, which will allow gaining knowledge of the current situation in the field, analyze the state of workflow in terms of performance indicators based on documents as well as based on processes, taking into account correlation of indicators of records management system and parameters of efficiency of business processes and activities of the organization. The system proposed will help identifying errors in the documents and forming recommendations to address the shortcomings recorded. The study used methods of mathematical modeling, graph theory, probability theory, object-oriented programming. The authors developed a multi-level model of representation of knowledge about the state of workflow and business processes of the organization, identified the main components of automated information system and described its role in the operation of the system, considered in detail the algorithm of the user interaction with the automated information system. Use of the developed the system will allow to optimize state of the workflow, improve the efficiency of business processes and the functioning of the organization as a whole.

Ключевые слова: workflow analysis, automated information system, model of knowledge representation, semantic network, structure of the AIS, database, knowledge base, logical inference subsystem , Bayesian method, operation algorithm

Библиография:
Fionova L.R. Postroenie modeli spetsialista v sfere DOU na osnove kompetentnostnogo podkhoda // Vestnik AGTU. 2013. №1. S. 163-173.
Usmanova I.V., Korovina L.V., Sokolova O.G. Nastroyka ekspertnoy sistemy analiza dokumentooborota na osobennosti organizatsii // Sovremennye problemy nauki i obrazovaniya: elektronnyy nauchnyy zhurnal. 2013. № 6. URL: http://www.science-education.ru/ru/article/view?id=10995 (data obrashcheniya: 16.12.2015).
Fionova L.R. Gramotnoe upravlenie dokumentami-osnova effektivnogo upravleniya// Teoriya i praktika obshchestvennogo razvitiya. 2014. №6. S. 115-120.
Usmanova I.V., Korovina L.V., Sokolova O.G. Organizatsiya logicheskogo vyvoda v zadache prognozirovaniya sostoyaniya dokumentooborota i biznes-protsessov organizatsii // Sovremennye problemy nauki i obrazovaniya: elektronnyy nauchnyy zhurnal. 2014. № 1. URL: http://www.science-education.ru/115-12260 (data obrashcheniya: 18.12.2015).
Usmanova I.V., Zabrodina L.V. Vzaimodeystvie intellektual'nykh komponentov informatsionnogo obespecheniya avtomatizirovannoy sistemy analiza i optimizatsii dokumentooborota organizatsii// Izvestiya PGPU im. V.G. Belinskogo. 2012. № 30. S. 310-318.
Usmanova I.V., Korovina L.V.K voprosu o razrabotke avtomatizirovannoy informatsionnoy sistemy analiza dokumentooborota// Programmnye sistemy i vychislitel'nye metody. 2014. № 1. S.63-69.
Usmanova I.V., Korovina L.V. Otsenka kachestvennykh kharakteristik dokumentooborota organizatsii // Kibernetika i programmirovanie. 2013. № 5. C. 7 - 17.
Usmanova I.V., Bakanova N.B., Tairova A.I. Analiz dokumentooborota kommercheskogo predpriyatiya // Sovremennye tekhnologii dokumentooborota v biznese, proizvodstve i upravlenii: sb. statey Kh-oy Mezhdunarodnoy nauchno-prakticheskoy konferentsii.-Penza: Izd-vo PZD. 2010. S. 60-62.
Usmanova I.V. Model' predstavleniya znaniy o marshrutakh provedeniya analiza i optimizatsii dokumentooborota organizatsii // Izvestiya PGPU im. V.G. Belinskogo. 2012. № 30. S. 296-301.
Korovina L.V. Analiz metodov otsenki sostoyaniya dokumentooborota organizatsii // Sovremennye problemy nauki i obrazovaniya: elektronnyy nauchnyy zhurnal. 2013. № 4. URL: http://www.science-education.ru/110-9783 (data obrashcheniya 18.12.2015).

References (transliteration):
Fionova L.R. Postroenie modeli spetsialista v sfere DOU na osnove kompetentnostnogo podkhoda // Vestnik AGTU. 2013. №1. S. 163-173.
Usmanova I.V., Korovina L.V., Sokolova O.G. Nastroyka ekspertnoy sistemy analiza dokumentooborota na osobennosti organizatsii // Sovremennye problemy nauki i obrazovaniya: elektronnyy nauchnyy zhurnal. 2013. № 6. URL: http://www.science-education.ru/ru/article/view?id=10995 (data obrashcheniya: 16.12.2015).
Fionova L.R. Gramotnoe upravlenie dokumentami-osnova effektivnogo upravleniya// Teoriya i praktika obshchestvennogo razvitiya. 2014. №6. S. 115-120.
Usmanova I.V., Korovina L.V., Sokolova O.G. Organizatsiya logicheskogo vyvoda v zadache prognozirovaniya sostoyaniya dokumentooborota i biznes-protsessov organizatsii // Sovremennye problemy nauki i obrazovaniya: elektronnyy nauchnyy zhurnal. 2014. № 1. URL: http://www.science-education.ru/115-12260 (data obrashcheniya: 18.12.2015).
Usmanova I.V., Zabrodina L.V. Vzaimodeystvie intellektual'nykh komponentov informatsionnogo obespecheniya avtomatizirovannoy sistemy analiza i optimizatsii dokumentooborota organizatsii// Izvestiya PGPU im. V.G. Belinskogo. 2012. № 30. S. 310-318.
Usmanova I.V., Korovina L.V.K voprosu o razrabotke avtomatizirovannoy informatsionnoy sistemy analiza dokumentooborota// Programmnye sistemy i vychislitel'nye metody. 2014. № 1. S.63-69.
Usmanova I.V., Korovina L.V. Otsenka kachestvennykh kharakteristik dokumentooborota organizatsii // Kibernetika i programmirovanie. 2013. № 5. C. 7 - 17.
Usmanova I.V., Bakanova N.B., Tairova A.I. Analiz dokumentooborota kommercheskogo predpriyatiya // Sovremennye tekhnologii dokumentooborota v biznese, proizvodstve i upravlenii: sb. statey Kh-oy Mezhdunarodnoy nauchno-prakticheskoy konferentsii.-Penza: Izd-vo PZD. 2010. S. 60-62.
Usmanova I.V. Model' predstavleniya znaniy o marshrutakh provedeniya analiza i optimizatsii dokumentooborota organizatsii // Izvestiya PGPU im. V.G. Belinskogo. 2012. № 30. S. 296-301.
Korovina L.V. Analiz metodov otsenki sostoyaniya dokumentooborota organizatsii // Sovremennye problemy nauki i obrazovaniya: elektronnyy nauchnyy zhurnal. 2013. № 4. URL: http://www.science-education.ru/110-9783 (data obrashcheniya 18.12.2015).

Аннотация: The article is devoted to methods of obtaining the necessary information for the functioning of the situational centers of various levels. The subject of research is the algorithm for obtain the relevant data and knowledge on the Internet. Under relevant data and knowledge the authors mean the information required to solve a problem or task. The object of the study the “IntellST” software, an information-analytical system for obtaining relevant data and knowledge on the Internet. Investigations take into account peculiarities of the Internet as the source of a huge volume of unstructured information. As the methods for the studying the authors used system analysis, information theory, algorithm theory, algebra, logic, set theory, comparative analysis, data mining techniques and methods of software development and database. The article presents general algorithm for finding data and knowledge on the Internet for the purposes of information support of situational centers. The authors present a universal functional diagram of a decision support system with the data and knowledge from the Internet. The paper shows the results of evaluation of the effectiveness of software “IntellST”. The authors concluded that it is possible to use “IntellST” to obtain information on the issue in the framework of the situational centers.

Ключевые слова: making decisions, knowledge, data, DSS, IntellST, information, Internet, Situation Centre, problem, estimation of efficiency

Библиография:
Simankov V.S. Analiz i sintez sistemy podderzhki prinyatiya resheniy na osnove intellektual'nykh sistem situatsionnogo tsentra / V.S. Simankov, A.N. Cherkasov // Nauka i biznes: puti razvitiya, № 12(42), M., 2014. – s. 93-98.
Simankov V.S. Sistemnyy analiz v adaptivnom upravlenii: Monografiya [pod red. V.S. Simankova] / V.S. Simankov, E.V. Lutsenko, V.N. Laptev. – Krasnodar: In-t sovr. tekhnol. i ekon., 2001. – 258 s.
Simankov V.S. Algoritm sinteza sistemy podderzhki prinyatiya resheniy kak podsistemy situatsionnogo tsentra / V.S. Simankov, A.N. Cherkasov // Perspektivy nauki, № 12(63), Tambov, 2014. – s. 118-122.
Simankov V.S. Razrabotka informatsionno-analiticheskoy sistemy polucheniya relevantnykh dannykh i znaniy v seti Internet / V.S. Simankov, D.M. Tolkachev // Programmnye sistemy i vychislitel'nye metody. – 2014. – № 3. – S. 298-311. DOI: 10.7256/2305-6061.2014.3.13396.
Intellektual'naya informatsionno-analiticheskaya sistema poiska otvetov v seti Internet IntellST / V.S. Simankov, D.M. Tolkachev; – № 2015619195; zayavka № 2015615783 ot 30.06.2015; zaregistrirovano v reestre programm dlya EVM 26.08.2015.
Simankov V.S. Metodologicheskie aspekty postroeniya sistem podderzhki prinyatiya resheniy / V.S. Simankov, S.N. Vladimirov, A.O. Denisenko, A.N. Cherkasov // Vestnik DGTU, Tom 8, №3(38), 2008. – s. 258-267

References (transliteration):
Simankov V.S. Analiz i sintez sistemy podderzhki prinyatiya resheniy na osnove intellektual'nykh sistem situatsionnogo tsentra / V.S. Simankov, A.N. Cherkasov // Nauka i biznes: puti razvitiya, № 12(42), M., 2014. – s. 93-98.
Simankov V.S. Sistemnyy analiz v adaptivnom upravlenii: Monografiya [pod red. V.S. Simankova] / V.S. Simankov, E.V. Lutsenko, V.N. Laptev. – Krasnodar: In-t sovr. tekhnol. i ekon., 2001. – 258 s.
Simankov V.S. Algoritm sinteza sistemy podderzhki prinyatiya resheniy kak podsistemy situatsionnogo tsentra / V.S. Simankov, A.N. Cherkasov // Perspektivy nauki, № 12(63), Tambov, 2014. – s. 118-122.
Simankov V.S. Razrabotka informatsionno-analiticheskoy sistemy polucheniya relevantnykh dannykh i znaniy v seti Internet / V.S. Simankov, D.M. Tolkachev // Programmnye sistemy i vychislitel'nye metody. – 2014. – № 3. – S. 298-311. DOI: 10.7256/2305-6061.2014.3.13396.
Intellektual'naya informatsionno-analiticheskaya sistema poiska otvetov v seti Internet IntellST / V.S. Simankov, D.M. Tolkachev; – № 2015619195; zayavka № 2015615783 ot 30.06.2015; zaregistrirovano v reestre programm dlya EVM 26.08.2015.
Simankov V.S. Metodologicheskie aspekty postroeniya sistem podderzhki prinyatiya resheniy / V.S. Simankov, S.N. Vladimirov, A.O. Denisenko, A.N. Cherkasov // Vestnik DGTU, Tom 8, №3(38), 2008. – s. 258-267

Аннотация: The article reviews a procedure of solving the uncertainty in identifying the similarities and duplications between the results of intellectual activity, due to the presence of semantic and pragmatic ambiguity in natural language form of results description. The aim of the study is to provide identification of duplicate results of intellectual activity in an automated mode, in which experts only manage its settings by determining the composition of the classifiers used in the construction of relations of similarity, simplification of inter-agency coordination based on the results of intellectual activity and integrity of the database, as well as increasing the reliability and efficiency of the procedure identifying duplicate the results of intellectual activity by combining the frequency-semantic methods and formalized expert knowledge. The research methodology is based on a system analysis, pattern recognition, synthesis databases and knowledge bases, the automatic processing of natural language texts. The authors developed an approach for building knowledge bases classes for information representations of the results of intellectual activity that would classify its different types and systematize knowledge about the classes of intellectual property through the use of the author's method of automated classification and identification of duplications of intellectual property.

Ключевые слова: pragmatic ambiguity, semantic ambiguity, classification of scientific results, expert information, research coordination, database, natural language, results of intellectual activity, description of the scientific results, avoiding duplication of information

Библиография:
Nadezhnost' i effektivnost' v tekhnike: Spravochnik: V 10 t. Tom 3. Effektivnost' tekhnicheskikh sistem. / Pod obshch. red. V.F. Utkina-M.: Mashinostroenie, 1988. 232 s.
Korneev V.V., Gareev A.F., Vasyutin S.V., Raykh V.V.. Bazy dannykh. Intellektual'naya obrabotka informatsii. M.: «Nolidzh», 2000. 144 s.
Shibanov G.P. Sovremennye tekhnologii provedeniya oblikovykh issledovaniy // Avtomatizatsiya. Sovremennye tekhnologii. 2015. № 9. S. 26-33.
Kuzin L.T. Osnovy kibernetiki. T.2. Osnovy kiberneticheskikh modeley.-M.: Energiya, 1973. 148 s.
Fedorov M.V., Kalinin K.M., Bogomolov A.V., Stetsyuk A.N. Matematicheskaya model' avtomatizirovannogo kontrolya vypolneniya meropriyatiy v organakh voennogo upravleniya // Informatsionno-izmeritel'nye i upravlyayushchie sistemy. 2011. T. 9. № 5. S. 46-54.
Barkovskiy S.S., Vorob'ev A.A. Tekhnologiya planirovaniya resursnogo obespecheniya federal'nykh tselevykh programm // Finansy i upravlenie. 2015. № 3. S. 11-24.
Shcheglov I.N., Bogomolov A.V., Pechatnov Yu.A. Algoritm formirovaniya obuchayushchey vyborki iskusstvennoy neyronnoy seti // Neyrokomp'yutery: razrabotka, primenenie. 2000. № 2. S. 12.
Bogomolov A.V. Metodika formirovaniya indeksa sostoyaniya ob'ekta po rezul'tatam mnogomernoy statisticheskoy klassifikatsii // Informatsionnye tekhnologii. 2000. № 12. S. 45.
Shipilov V.V., Kuksin K.G., Baranov N.A. Upravlenie resursami pri obespechenii bezopasnosti zashchishchaemykh ob'ektov // Nelineynyy mir. 2014. T. 12. № 7. S. 29-32.
Shcheglov I.N., Bogomolov A.V., Pechatnov Yu.A. Issledovanie vliyaniya reprezentativnosti obuchayushchey vyborki na kachestvo raboty metodov raspoznavaniya obrazov // Neyrokomp'yutery: razrabotka, primenenie. 2002. № 9-10.
Kukushkin Yu.A., Bukhtiyarov I.V., Bogomolov A.V. Obobshchenie rezul'tatov nezavisimykh eksperimental'nykh issledovaniy metodom meta-analiza // Informatsionnye tekhnologii. 2001. № 6. S. 48.
Kozlov V.E., Bogomolov A.V., Rudakov S.V., Olenchenko V.T. Matematicheskoe obespechenie obrabotki reytingovoy informatsii v zadachakh ekspertnogo otsenivaniya // Mir izmereniy. 2012. № 9. S. 42-49.
Kukushkin Yu.A., Bogomolov A.V., Ushakov I.B. Matematicheskoe obespechenie otsenivaniya sostoyaniya material'nykh sistem // Informatsionnye tekhnologii. 2004. № 7 (prilozhenie). 32 s.
Maksimov I.B., Stolyar V.P., Bogomolov A.V. Prikladnaya teoriya informatsionnogo obespecheniya mediko-biologicheskikh issledovaniy. Moskva: Binom, 2013. 311 s
Golosovskiy M.S. Informatsionno-logicheskaya model' protsessa razrabotki programmnogo obespecheniya // Programmnye sistemy i vychislitel'nye metody. 2015. № 1. S. 59-68.
Barkovskiy S.S., Zheltov P.V., Lukashov A.M. Podkhod k formalizatsii modeli semanticheskoy struktury teksta v sistemakh dokumentooborota // Vestnik Kazanskogo gosudarstvennogo tekhnicheskogo universiteta im. A.N. Tupoleva. 2010. № 2. S. 96-100.
Golosovskiy M.S. Model' zhiznennogo tsikla razrabotki programmnogo obespecheniya v ramkakh nauchno-issledovatel'skikh rabot // Avtomatizatsiya. Sovremennye tekhnologii. 2014. № 1. S. 43-46.
Burenok V.M., Lyapunov V.M., Mudrov V.I. Teoriya vooruzheniya (uchebnoe posobie) / Pod red. A.A.Rakhmanova. M.: 46 TsNII MO RF, 2002. 88 s.

References (transliteration):
Nadezhnost' i effektivnost' v tekhnike: Spravochnik: V 10 t. Tom 3. Effektivnost' tekhnicheskikh sistem. / Pod obshch. red. V.F. Utkina-M.: Mashinostroenie, 1988. 232 s.
Korneev V.V., Gareev A.F., Vasyutin S.V., Raykh V.V.. Bazy dannykh. Intellektual'naya obrabotka informatsii. M.: «Nolidzh», 2000. 144 s.
Shibanov G.P. Sovremennye tekhnologii provedeniya oblikovykh issledovaniy // Avtomatizatsiya. Sovremennye tekhnologii. 2015. № 9. S. 26-33.
Kuzin L.T. Osnovy kibernetiki. T.2. Osnovy kiberneticheskikh modeley.-M.: Energiya, 1973. 148 s.
Fedorov M.V., Kalinin K.M., Bogomolov A.V., Stetsyuk A.N. Matematicheskaya model' avtomatizirovannogo kontrolya vypolneniya meropriyatiy v organakh voennogo upravleniya // Informatsionno-izmeritel'nye i upravlyayushchie sistemy. 2011. T. 9. № 5. S. 46-54.
Barkovskiy S.S., Vorob'ev A.A. Tekhnologiya planirovaniya resursnogo obespecheniya federal'nykh tselevykh programm // Finansy i upravlenie. 2015. № 3. S. 11-24.
Shcheglov I.N., Bogomolov A.V., Pechatnov Yu.A. Algoritm formirovaniya obuchayushchey vyborki iskusstvennoy neyronnoy seti // Neyrokomp'yutery: razrabotka, primenenie. 2000. № 2. S. 12.
Bogomolov A.V. Metodika formirovaniya indeksa sostoyaniya ob'ekta po rezul'tatam mnogomernoy statisticheskoy klassifikatsii // Informatsionnye tekhnologii. 2000. № 12. S. 45.
Shipilov V.V., Kuksin K.G., Baranov N.A. Upravlenie resursami pri obespechenii bezopasnosti zashchishchaemykh ob'ektov // Nelineynyy mir. 2014. T. 12. № 7. S. 29-32.
Shcheglov I.N., Bogomolov A.V., Pechatnov Yu.A. Issledovanie vliyaniya reprezentativnosti obuchayushchey vyborki na kachestvo raboty metodov raspoznavaniya obrazov // Neyrokomp'yutery: razrabotka, primenenie. 2002. № 9-10.
Kukushkin Yu.A., Bukhtiyarov I.V., Bogomolov A.V. Obobshchenie rezul'tatov nezavisimykh eksperimental'nykh issledovaniy metodom meta-analiza // Informatsionnye tekhnologii. 2001. № 6. S. 48.
Kozlov V.E., Bogomolov A.V., Rudakov S.V., Olenchenko V.T. Matematicheskoe obespechenie obrabotki reytingovoy informatsii v zadachakh ekspertnogo otsenivaniya // Mir izmereniy. 2012. № 9. S. 42-49.
Kukushkin Yu.A., Bogomolov A.V., Ushakov I.B. Matematicheskoe obespechenie otsenivaniya sostoyaniya material'nykh sistem // Informatsionnye tekhnologii. 2004. № 7 (prilozhenie). 32 s.
Maksimov I.B., Stolyar V.P., Bogomolov A.V. Prikladnaya teoriya informatsionnogo obespecheniya mediko-biologicheskikh issledovaniy. Moskva: Binom, 2013. 311 s
Golosovskiy M.S. Informatsionno-logicheskaya model' protsessa razrabotki programmnogo obespecheniya // Programmnye sistemy i vychislitel'nye metody. 2015. № 1. S. 59-68.
Barkovskiy S.S., Zheltov P.V., Lukashov A.M. Podkhod k formalizatsii modeli semanticheskoy struktury teksta v sistemakh dokumentooborota // Vestnik Kazanskogo gosudarstvennogo tekhnicheskogo universiteta im. A.N. Tupoleva. 2010. № 2. S. 96-100.
Golosovskiy M.S. Model' zhiznennogo tsikla razrabotki programmnogo obespecheniya v ramkakh nauchno-issledovatel'skikh rabot // Avtomatizatsiya. Sovremennye tekhnologii. 2014. № 1. S. 43-46.
Burenok V.M., Lyapunov V.M., Mudrov V.I. Teoriya vooruzheniya (uchebnoe posobie) / Pod red. A.A.Rakhmanova. M.: 46 TsNII MO RF, 2002. 88 s.

Аннотация: An important step in the early stages of the life cycle of hearing protectors is an ergonomic expertise. For its implementation a software complex was developed. It provide interactive input of values of operational, technical and economic characteristics of all samples of used individually hearing protectors (ear muffs, helmets, earplugs, protection against air acoustic vibrations and etc.), obtained using objective (direct measurements) and subjective (survey respondents) methods for further calculation of the integral index - the coefficient of ergonomics as a weighted convolution of indicators. Methods of the research: a systematic analysis, expert information processing, ergonomics, programming, software engineering, ergonomic qualimetry, computer science, cybernetics. By using the developed programs author provided standardization of the procedures of ergonomic examination of personal protective equipment from aircraft noise, creating and filling a database of economic expertise (with both primary information and integrated assessments) and most importantly timely detection and elimination of design flaws that reduce the usability of developed remedies, which, as a result, improved the comfort of their usage by aviation specialists. Software solutions are created using the ActionScript (Flash) and have the certificates of state registration.

Ключевые слова: computer-aided system, expert system, acoustic efficiency, noise protection, software package, ergonomic expertise, life safety, weighted sum of indices, ergonomic qualimetry, software

Библиография:
Soldatov S.K., Kukushkin Yu.A., Zinkin V.N., Bogomolov A.V., Kiriy S.V., Sheshegov P.M., Shishkin O.Yu., Kazachkov V.V. Metodicheskoe obespechenie otsenivaniya i prognozirovaniya rabotosposobnosti operatorov, podvergayushchikhsya vozdeystviyu aviatsionnogo shuma // Bezopasnost' zhiznedeyatel'nosti. 2006. № 4. S. 11-20.
Solntsev V.I., Somov M.V., Skuratovskiy N.I. Avtomatizatsiya ergonomicheskikh ekspertiz sredstv zashchity ot shuma // Programmnye sistemy i vychislitel'nye metody.-2014.-№4.-C. 446-455. DOI: 10.7256/2305-6061.2014.4.14054. URL: http://www.nbpublish.com/go_to_article.php?id=31885
Soldatov S.K., Skuratovskiy N.I. Inzhenerno-tekhnicheskie aspekty evolyutsii sredstv zashchity ot aviatsionnogo shuma // Tekhnologii tekhnosfernoy bezopasnosti. 2013. № 6 (52). S. 23.
Soldatov S.K., Bogomolov A.V., Zinkin V.N., Dragan S.P. Problemy obespecheniya akusticheskoy bezopasnosti personala aviatsionnoy promyshlennosti // Bezopasnost' truda v promyshlennosti. 2014. № 10. S. 58-60.
Soldatov S.K., Bogomolov A.V., Zinkin V.N., Aver'yanov A.A., Rossel's A.V., Patskin G.A., Sokolov B.A. Sredstva i metody zashchity ot aviatsionnogo shuma: sostoyanie i perspektivy razvitiya // Aviakosmicheskaya i ekologicheskaya meditsina. 2011. T. 45. № 5. S. 3-11.
Skuratovskiy N.I. Tekhnologiya ergonomicheskoy ekspertizy sredstv individual'noy zashchity ot aviatsionnogo shuma // Tekhnologii tekhnosfernoy bezopasnosti. 2013. № 6 (52). S. 24.
Skuratovskiy N.I., Zinkin V.N., Bogomolov A.V. Avtomatizirovannaya podderzhka ergonomicheskoy ekspertizy sredstv individual'noy zashchity ot aviatsionnogo shuma // Chelovecheskiy faktor: problemy psikhologii i ergonomiki. 2014. № 1 (68). S. 54-57.
Paderno P.I. Ergonomicheskaya ekspertiza: teoriya i praktika, problemy i trudnosti // Chelovecheskiy faktor: problemy psikhologii i ergonomiki. 2007. № 3. S. 122-124.
Skuratovskiy N.I. Metodika rascheta koeffitsienta ergonomichnosti sredstv individual'noy zashchity ot aviatsionnogo shuma // Problemy bezopasnosti poletov. 2013. № 12. S. 50-54.
Skuratovskiy N.I. Algoritmy i programmy ergonomicheskoy ekspertizy protivoshumov // Algoritmy, metody i sistemy obrabotki dannykh. 2014. № 1 (26). S. 48-60.
Kozlov V.E., Bogomolov A.V., Rudakov S.V., Olenchenko V.T. Matematicheskoe obespechenie obrabotki reytingovoy informatsii v zadachakh ekspertnogo otsenivaniya // Mir izmereniy. 2012. № 9. S. 42-49.
Zinkin V.N., Soldatov S.K., Bogomolov A.V., Shvedov A.P. Obosnovanie ispol'zovaniya spetsialistami sredstv individual'noy zashchity pri vozdeystviii aviatsionnogo shuma // Informatika i sistemy upravleniya. 2009. № 4. S. 139-141.
Zinkin V.N., Soldatov S.K., Bogomolov A.V., Kukushkin Yu.A., Akhmetzyanov I.M., Sheshegov P.M. Riski zdorov'yu, obuslovlennye kumulyativnym deystviem aviatsionnogo shuma, i meropriyatiya po bor'be s nim // Problemy bezopasnosti i chrezvychaynykh situatsiy. 2011. № 1. S. 80-88.
Zinkin V.N., Soldatov S.K., Bogomolov A.V., Kukushkin Yu.A., Akhmetzyanov I.M., Sheshegov P.M. Aviatsionnyy shum kak faktor ekologo-sotsial'nogo neblagopoluchiya // Problemy bezopasnosti poletov. 2010. № 10. S. 3-13.
Zinkin V.N., Soldatov S.K., Bogomolov A.V., Dragan S.P. Aktual'nye problemy zashchity naseleniya ot nizkochastotnogo shuma i infrazvuka // Tekhnologii grazhdanskoy bezopasnosti. 2015. T. 12. № 1. S. 90-96.
Zinkin V.N., Bogomolov A.V., Dragan S.P., Akhmetzyanov I.M. Kumulyativnye mediko-ekologicheskie effekty sochetannogo deystviya shuma i infrazvuka // Ekologiya i promyshlennost' Rossii. 2012. № 3. S. 46-49.
Zinkin V.N., Bogomolov A.V., Dragan S.P., Akhmetzyanov I.M. Analiz riskov zdorov'yu, obuslovlennykh sochetannym deystviem shuma i infrazvuka // Problemy analiza riska. 2011. T. 8. № 4. S. 82-92.
Zinkin V.N., Akhmetzyanov I.M., Dragan S.P., Bogomolov A.V. Osobennosti sochetannogo deystviya shuma i infrazvuka na organizm // Bezopasnost' zhiznedeyatel'nosti. 2011. № 9. S. 2-10.
Zinkin V.N., Akhmetzyanov I.M., Soldatov S.K., Bogomolov A.V. Mediko-biologicheskaya otsenka effektivnosti sredstv individual'noy zashchity ot shuma // Meditsina truda i promyshlennaya ekologiya. 2011. № 4. S. 33-34.
Zhdan'ko I.M., Zinkin V.N., Soldatov S.K., Bogomolov A.V., Sheshegov P.M. Fundamental'nye i prikladnye aspekty profilaktiki neblagopriyatnogo deystviya aviatsionnogo shuma // Aviakosmicheskaya i ekologicheskaya meditsina. 2014. T. 48. № 4. S. 5-16.
Bogomolov A.V., Kukushkin Yu.A. Avtomatizatsiya personifitsirovannogo monitoringa usloviy truda // Avtomatizatsiya. Sovremennye tekhnologii. 2015. № 3. S. 6-8.
Bogomolov A.V., Skuratovskiy N.I., Dragan S.P., Somov M.V. Metodika ergonomicheskoy ekspertizy protivoshumnykh naushnikov // Inzhenernyy vestnik. 2013. №9. S. 8.
Avtomatizirovannaya sistema ergonomicheskoy ekspertizy protivoshumnykh naushnikov: svidetel'stvo o gosudarstvennoy registratsii programmy dlya EVM № 2013661051 / N.I.Skuratovskiy [i dr.]. 2013. 1 s.
Bogomolov A.V., Dragan S.P. Avtomatizirovannyy monitoring i tekhnologii obespecheniya akusticheskoy bezopasnosti personala // Avtomatizatsiya. Sovremennye tekhnologii. 2015. №4. S. 25-29.
Avtomatizirovannaya sistema ergonomicheskoy ekspertizy sredstv individual'noy protivoshumnoy vibrozashchity: svidetel'stvo o gosudarstvennoy registratsii programmy dlya EVM / N.I.Skuratovskiy [i dr.]. 2013. 1 s.
Avtomatizirovannaya sistema ergonomicheskoy ekspertizy protivoshumnykh vkladyshey: svidetel'stvo o gosudarstvennoy registratsii programmy dlya EVM № 2013661051 / N.I.Skuratovskiy [i dr.]. 2013. 1 s.
Avtomatizirovannaya sistema issledovaniya akusticheskoy effektivnosti sredstv individual'noy zashchity ot shuma: svidetel'stvo o gosudarstvennoy registratsii programmy dlya EVM № 2014612091 / N.I.Skuratovskiy [i dr.]. 2013. 1 s.
Avtomatizirovannaya sistema ergonomicheskoy ekspertizy protivoshumnogo shlema: svidetel'stvo o gosudarstvennoy registratsii programmy dlya EVM № 2013660986 / N.I.Skuratovskiy [i dr.]. 2013. 1 s.
Ushakov I.B., Bogomolov A.V., Kukushkin Yu.A. Printsipy organizatsii kontrolya i optimizatsii funktsional'nogo sostoyaniya operatorov // Bezopasnost' zhiznedeyatel'nosti. 2006. № 1. S. 4-10

References (transliteration):
Soldatov S.K., Kukushkin Yu.A., Zinkin V.N., Bogomolov A.V., Kiriy S.V., Sheshegov P.M., Shishkin O.Yu., Kazachkov V.V. Metodicheskoe obespechenie otsenivaniya i prognozirovaniya rabotosposobnosti operatorov, podvergayushchikhsya vozdeystviyu aviatsionnogo shuma // Bezopasnost' zhiznedeyatel'nosti. 2006. № 4. S. 11-20.
Solntsev V.I., Somov M.V., Skuratovskiy N.I. Avtomatizatsiya ergonomicheskikh ekspertiz sredstv zashchity ot shuma // Programmnye sistemy i vychislitel'nye metody.-2014.-№4.-C. 446-455. DOI: 10.7256/2305-6061.2014.4.14054. URL: http://www.nbpublish.com/go_to_article.php?id=31885
Soldatov S.K., Skuratovskiy N.I. Inzhenerno-tekhnicheskie aspekty evolyutsii sredstv zashchity ot aviatsionnogo shuma // Tekhnologii tekhnosfernoy bezopasnosti. 2013. № 6 (52). S. 23.
Soldatov S.K., Bogomolov A.V., Zinkin V.N., Dragan S.P. Problemy obespecheniya akusticheskoy bezopasnosti personala aviatsionnoy promyshlennosti // Bezopasnost' truda v promyshlennosti. 2014. № 10. S. 58-60.
Soldatov S.K., Bogomolov A.V., Zinkin V.N., Aver'yanov A.A., Rossel's A.V., Patskin G.A., Sokolov B.A. Sredstva i metody zashchity ot aviatsionnogo shuma: sostoyanie i perspektivy razvitiya // Aviakosmicheskaya i ekologicheskaya meditsina. 2011. T. 45. № 5. S. 3-11.
Skuratovskiy N.I. Tekhnologiya ergonomicheskoy ekspertizy sredstv individual'noy zashchity ot aviatsionnogo shuma // Tekhnologii tekhnosfernoy bezopasnosti. 2013. № 6 (52). S. 24.
Skuratovskiy N.I., Zinkin V.N., Bogomolov A.V. Avtomatizirovannaya podderzhka ergonomicheskoy ekspertizy sredstv individual'noy zashchity ot aviatsionnogo shuma // Chelovecheskiy faktor: problemy psikhologii i ergonomiki. 2014. № 1 (68). S. 54-57.
Paderno P.I. Ergonomicheskaya ekspertiza: teoriya i praktika, problemy i trudnosti // Chelovecheskiy faktor: problemy psikhologii i ergonomiki. 2007. № 3. S. 122-124.
Skuratovskiy N.I. Metodika rascheta koeffitsienta ergonomichnosti sredstv individual'noy zashchity ot aviatsionnogo shuma // Problemy bezopasnosti poletov. 2013. № 12. S. 50-54.
Skuratovskiy N.I. Algoritmy i programmy ergonomicheskoy ekspertizy protivoshumov // Algoritmy, metody i sistemy obrabotki dannykh. 2014. № 1 (26). S. 48-60.
Kozlov V.E., Bogomolov A.V., Rudakov S.V., Olenchenko V.T. Matematicheskoe obespechenie obrabotki reytingovoy informatsii v zadachakh ekspertnogo otsenivaniya // Mir izmereniy. 2012. № 9. S. 42-49.
Zinkin V.N., Soldatov S.K., Bogomolov A.V., Shvedov A.P. Obosnovanie ispol'zovaniya spetsialistami sredstv individual'noy zashchity pri vozdeystviii aviatsionnogo shuma // Informatika i sistemy upravleniya. 2009. № 4. S. 139-141.
Zinkin V.N., Soldatov S.K., Bogomolov A.V., Kukushkin Yu.A., Akhmetzyanov I.M., Sheshegov P.M. Riski zdorov'yu, obuslovlennye kumulyativnym deystviem aviatsionnogo shuma, i meropriyatiya po bor'be s nim // Problemy bezopasnosti i chrezvychaynykh situatsiy. 2011. № 1. S. 80-88.
Zinkin V.N., Soldatov S.K., Bogomolov A.V., Kukushkin Yu.A., Akhmetzyanov I.M., Sheshegov P.M. Aviatsionnyy shum kak faktor ekologo-sotsial'nogo neblagopoluchiya // Problemy bezopasnosti poletov. 2010. № 10. S. 3-13.
Zinkin V.N., Soldatov S.K., Bogomolov A.V., Dragan S.P. Aktual'nye problemy zashchity naseleniya ot nizkochastotnogo shuma i infrazvuka // Tekhnologii grazhdanskoy bezopasnosti. 2015. T. 12. № 1. S. 90-96.
Zinkin V.N., Bogomolov A.V., Dragan S.P., Akhmetzyanov I.M. Kumulyativnye mediko-ekologicheskie effekty sochetannogo deystviya shuma i infrazvuka // Ekologiya i promyshlennost' Rossii. 2012. № 3. S. 46-49.
Zinkin V.N., Bogomolov A.V., Dragan S.P., Akhmetzyanov I.M. Analiz riskov zdorov'yu, obuslovlennykh sochetannym deystviem shuma i infrazvuka // Problemy analiza riska. 2011. T. 8. № 4. S. 82-92.
Zinkin V.N., Akhmetzyanov I.M., Dragan S.P., Bogomolov A.V. Osobennosti sochetannogo deystviya shuma i infrazvuka na organizm // Bezopasnost' zhiznedeyatel'nosti. 2011. № 9. S. 2-10.
Zinkin V.N., Akhmetzyanov I.M., Soldatov S.K., Bogomolov A.V. Mediko-biologicheskaya otsenka effektivnosti sredstv individual'noy zashchity ot shuma // Meditsina truda i promyshlennaya ekologiya. 2011. № 4. S. 33-34.
Zhdan'ko I.M., Zinkin V.N., Soldatov S.K., Bogomolov A.V., Sheshegov P.M. Fundamental'nye i prikladnye aspekty profilaktiki neblagopriyatnogo deystviya aviatsionnogo shuma // Aviakosmicheskaya i ekologicheskaya meditsina. 2014. T. 48. № 4. S. 5-16.
Bogomolov A.V., Kukushkin Yu.A. Avtomatizatsiya personifitsirovannogo monitoringa usloviy truda // Avtomatizatsiya. Sovremennye tekhnologii. 2015. № 3. S. 6-8.
Bogomolov A.V., Skuratovskiy N.I., Dragan S.P., Somov M.V. Metodika ergonomicheskoy ekspertizy protivoshumnykh naushnikov // Inzhenernyy vestnik. 2013. №9. S. 8.
Avtomatizirovannaya sistema ergonomicheskoy ekspertizy protivoshumnykh naushnikov: svidetel'stvo o gosudarstvennoy registratsii programmy dlya EVM № 2013661051 / N.I.Skuratovskiy [i dr.]. 2013. 1 s.
Bogomolov A.V., Dragan S.P. Avtomatizirovannyy monitoring i tekhnologii obespecheniya akusticheskoy bezopasnosti personala // Avtomatizatsiya. Sovremennye tekhnologii. 2015. №4. S. 25-29.
Avtomatizirovannaya sistema ergonomicheskoy ekspertizy sredstv individual'noy protivoshumnoy vibrozashchity: svidetel'stvo o gosudarstvennoy registratsii programmy dlya EVM / N.I.Skuratovskiy [i dr.]. 2013. 1 s.
Avtomatizirovannaya sistema ergonomicheskoy ekspertizy protivoshumnykh vkladyshey: svidetel'stvo o gosudarstvennoy registratsii programmy dlya EVM № 2013661051 / N.I.Skuratovskiy [i dr.]. 2013. 1 s.
Avtomatizirovannaya sistema issledovaniya akusticheskoy effektivnosti sredstv individual'noy zashchity ot shuma: svidetel'stvo o gosudarstvennoy registratsii programmy dlya EVM № 2014612091 / N.I.Skuratovskiy [i dr.]. 2013. 1 s.
Avtomatizirovannaya sistema ergonomicheskoy ekspertizy protivoshumnogo shlema: svidetel'stvo o gosudarstvennoy registratsii programmy dlya EVM № 2013660986 / N.I.Skuratovskiy [i dr.]. 2013. 1 s.
Ushakov I.B., Bogomolov A.V., Kukushkin Yu.A. Printsipy organizatsii kontrolya i optimizatsii funktsional'nogo sostoyaniya operatorov // Bezopasnost' zhiznedeyatel'nosti. 2006. № 1. S. 4-10

Аннотация: The subject of the research is the synthesis of the base of psychological and didactic tests for monitoring the level of knowledge, implemented through a system test control system of computer-aided learning systems. The functioning of such systems is based on the implementation of adaptive testing as a process of automated selection of test items (test questions) of a such level of difficulty, in which the objective accuracy of the level of student's knowledge measurement reaches a maximum. A base of control tests, combining psychological and didactic tests is an important part of such system. To carry out the research the authors used methods of pedagogical science, structural systems analysis, expert assessments, database design for automation systems. As a result of the research the authors developed and successfully tried out the synthesis technology for base of tests in computer-aided learning, allowing implementing adaptive management of education process by providing training influences appropriate for individual psychological characteristics of each student and providing a level of training of students with automated control of their level of motivation and commitment.

Ключевые слова: standardized test scores, adaptive testing, automated control of knowledge, computer aided learning, educational informatics, base of tests, didactic tests, psychological tests, system of tests, management training

Библиография:
Shipilov V.V., Sakharov O.V. Modelirovanie podbora i rasstanovki kadrov s uchetom ikh professional'nykh navykov dlya vypolneniya proektov // Voprosy teorii bezopasnosti i ustoychivosti sistem. – 2014. – № 16. – S. 153-164.
Kukushkin Yu.A., Usov V.M., Bogomolov A.V. Avtomatizirovannoe otsenivanie riska narusheniy sostoyaniya zdorov'ya cheloveka s pomoshch'yu komp'yuternykh voprosnikov na osnove nechetkoy logiki // Informatsionnye tekhnologii. – 2002. – № 10. – S. 44.
Golosovskiy M.S., Shashin A.E. Tekhnologiya adaptivnogo sinteza sistemy testovogo kontrolya kachestva avtomatizirovannogo obucheniya // V sbornike: Sistemnyy analiz v meditsine (SAM 2014) Materialy VIII mezhdunarodnoy nauchnoy konferentsii. Dal'nevostochnyy nauchnyy tsentr fiziologii i patologii dykhaniya SO RAMN. – 2014. – S. 71-74.
Kyung T. Han IRTEQ: windows application that implements item response theory scaling and equating // Applied Psychological Measurement. – 2009. – T. 33. – № 6. – S. 491-493.
Carol M. Woods, Nan Lin Item response theory with estimation of the latent density using davidian curves // Applied Psychological Measurement. – 2009. – T. 33. – № 2. – S. 102-117.
Shcheglov I.N., Pechatnov Yu.A., Bogomolov A.V. Intensifikatsiya razrabotki avtomatizirovannykh sistem obucheniya na osnove neyrosetevykh tekhnologiy // Informatsionnye tekhnologii. – 2003. – № 4. – S. 31.
Shcheglov I.N., Bogomolov A.V., Pechatnov Yu.A. Issledovanie vliyaniya reprezentativnosti obuchayushchey vyborki na kachestvo raboty metodov raspoznavaniya obrazov // Neyrokomp'yutery: razrabotka, primenenie. – 2002. – № 9-10.
Shpudeyko S.A., Bogomolov A.V. Metodologicheskie osnovy organizatsii nemonotonnykh protsessov obucheniya slozhnym vidam deyatel'nosti na osnove teorii transformatsionnogo obucheniya // Informatsionnye tekhnologii. – 2006. – № 3. – S. 74-79.
Fedorov M.V., Kalinin K.M., Bogomolov A.V., Stetsyuk A.N. Matematicheskaya model' avtomatizirovannogo kontrolya vypolneniya meropriyatiy v organakh voennogo upravleniya // Informatsionno-izmeritel'nye i upravlyayushchie sistemy. – 2011. – T. 9. – № 5. – S. 46-54.
Klyueva I.A. Komp'yuternye programmy i avtomatizirovannye sistemy v obuchenii // Al'manakh sovremennoy nauki i obrazovaniya. – 2010. – № 5. – S. 102-104.
Ushakov I.B., Vorona A.A., Kukushkin Yu.A., Bogomolov A.V. Apparatno-programmnye kompleksy dlya mediko-psikhologicheskogo obespecheniya kontrolya nadezhnosti professional'noy deyatel'nosti cheloveka v usloviyakh vysokogo riska vozniknoveniya chrezvychaynoy situatsii // Bezopasnost' zhiznedeyatel'nosti. – 2004. – № 3. – S. 8.
Davydov D.A., Sharafiev R.G. Proektirovanie sistem adaptivnogo testovogo kontrolya // Pedagogicheskiy zhurnal Bashkortostana. – 2006. – T. 2. – № 3. – S. 39-59.
Guzik V.F., Lyapuntsova E.V., Kostyuk A.I., Chernyy S.A. Printsipy razrabotki sistem testovogo kontrolya znaniy // Izvestiya Yuzhnogo federal'nogo universiteta. Tekhnicheskie nauki. – 2002. – T. 25. – № 2. – S. 164-166.
Vetoshkin V.M. Bazy dannykh. – M: VVIA im. prof. N.E. Zhukovskogo. – 2005. – 388 s.
Vorona A.A., Gerasimenko V.D., Kozlovskiy E.A., Kukushkin Yu.A., Bogomolov A.V. Mediko-sotsial'noe prognozirovanie professional'noy gotovnosti vypusknika voenno-uchebnogo zavedeniya // Voenno-meditsinskiy zhurnal. – 2012. – T. 333. – № 1. – S. 40.
Bogomolov A.V., Zueva T.V., Chikova S.S., Golosovskiy M.S. Ekspertno-analiticheskoe obosnovanie prioritetnykh napravleniy sovershenstvovaniya sistemy preduprezhdeniya biologicheskikh terroristicheskikh aktov // Informatika i sistemy upravleniya. – 2009. – № 4. – S. 134-136.
Bogomolov A.V. Kontseptsiya matematicheskogo obespecheniya diagnostiki sostoyaniya cheloveka // Informatika i sistemy upravleniya. – 2008. – № 2 (16). – S. 11-13.
Ushakov I.B., Bogomolov A.V. Informatizatsiya programm personifitsirovannoy adaptatsionnoy meditsiny // Vestnik Rossiyskoy akademii meditsinskikh nauk. – 2014. – № 5-6. – S. 124-128.
Bazanov V.M., Vetoshkin V.M., Lyalyuk I.N., Sayapin O.V., Sel'vesyuk N.I. Avtomatizirovannye sistemy upravleniya poletami i vozdushnym dvizheniem aviatsii RF. – M.: VUNTs VVS «VVA im. professora N.E. Zhukovskogo i Yu.A Gagarina». – 2010. – 209 s.
Vinogradov A.N., Makarenkov S.A., Chirov D.S. Primenenie metodov data mining dlya formirovaniya bazy znaniy ekspertnoy sistemy klassifikatsii radiosignalov // T-Comm: Telekommunikatsii i transport. – 2010. – T. 4. – № 11. – S. 61-64.
Golosovskiy M.S. Model' zhiznennogo tsikla razrabotki programmnogo obespecheniya v ramkakh nauchno-issledovatel'skikh rabot // Avtomatizatsiya. Sovremennye tekhnologii. – 2014. – № 1. – S. 43-46.
Skuratovskiy N.I., Zinkin V.N., Bogomolov A.V. Avtomatizirovannaya podderzhka ergonomicheskoy ekspertizy sredstv individual'noy zashchity ot aviatsionnogo shuma // Chelovecheskiy faktor: problemy psikhologii i ergonomiki. 2014. № 1 (68). S. 54-57.
Bogomolov A.V., Kukushkin Yu.A. Avtomatizatsiya personifitsirovannogo monitoringa usloviy truda // Avtomatizatsiya. Sovremennye tekhnologii. 2015. № 3. S. 6-8.
Kozlov V.E., Bogomolov A.V., Rudakov S.V., Olenchenko V.T. Matematicheskoe obespechenie obrabotki reytingovoy informatsii v zadachakh ekspertnogo otsenivaniya // Mir izmereniy. 2012. № 9. S. 42-49.
Esev A.A., Merezhko A.N., Tkachuk A.V. Tekhnologiya kvalimetrii tekhnicheskogo urovnya slozhnykh sistem // Vestnik komp'yuternykh i informatsionnykh tekhnologiy. 2014. № 7 (121). S. 28-34

References (transliteration):
Shipilov V.V., Sakharov O.V. Modelirovanie podbora i rasstanovki kadrov s uchetom ikh professional'nykh navykov dlya vypolneniya proektov // Voprosy teorii bezopasnosti i ustoychivosti sistem. – 2014. – № 16. – S. 153-164.
Kukushkin Yu.A., Usov V.M., Bogomolov A.V. Avtomatizirovannoe otsenivanie riska narusheniy sostoyaniya zdorov'ya cheloveka s pomoshch'yu komp'yuternykh voprosnikov na osnove nechetkoy logiki // Informatsionnye tekhnologii. – 2002. – № 10. – S. 44.
Golosovskiy M.S., Shashin A.E. Tekhnologiya adaptivnogo sinteza sistemy testovogo kontrolya kachestva avtomatizirovannogo obucheniya // V sbornike: Sistemnyy analiz v meditsine (SAM 2014) Materialy VIII mezhdunarodnoy nauchnoy konferentsii. Dal'nevostochnyy nauchnyy tsentr fiziologii i patologii dykhaniya SO RAMN. – 2014. – S. 71-74.
Kyung T. Han IRTEQ: windows application that implements item response theory scaling and equating // Applied Psychological Measurement. – 2009. – T. 33. – № 6. – S. 491-493.
Carol M. Woods, Nan Lin Item response theory with estimation of the latent density using davidian curves // Applied Psychological Measurement. – 2009. – T. 33. – № 2. – S. 102-117.
Shcheglov I.N., Pechatnov Yu.A., Bogomolov A.V. Intensifikatsiya razrabotki avtomatizirovannykh sistem obucheniya na osnove neyrosetevykh tekhnologiy // Informatsionnye tekhnologii. – 2003. – № 4. – S. 31.
Shcheglov I.N., Bogomolov A.V., Pechatnov Yu.A. Issledovanie vliyaniya reprezentativnosti obuchayushchey vyborki na kachestvo raboty metodov raspoznavaniya obrazov // Neyrokomp'yutery: razrabotka, primenenie. – 2002. – № 9-10.
Shpudeyko S.A., Bogomolov A.V. Metodologicheskie osnovy organizatsii nemonotonnykh protsessov obucheniya slozhnym vidam deyatel'nosti na osnove teorii transformatsionnogo obucheniya // Informatsionnye tekhnologii. – 2006. – № 3. – S. 74-79.
Fedorov M.V., Kalinin K.M., Bogomolov A.V., Stetsyuk A.N. Matematicheskaya model' avtomatizirovannogo kontrolya vypolneniya meropriyatiy v organakh voennogo upravleniya // Informatsionno-izmeritel'nye i upravlyayushchie sistemy. – 2011. – T. 9. – № 5. – S. 46-54.
Klyueva I.A. Komp'yuternye programmy i avtomatizirovannye sistemy v obuchenii // Al'manakh sovremennoy nauki i obrazovaniya. – 2010. – № 5. – S. 102-104.
Ushakov I.B., Vorona A.A., Kukushkin Yu.A., Bogomolov A.V. Apparatno-programmnye kompleksy dlya mediko-psikhologicheskogo obespecheniya kontrolya nadezhnosti professional'noy deyatel'nosti cheloveka v usloviyakh vysokogo riska vozniknoveniya chrezvychaynoy situatsii // Bezopasnost' zhiznedeyatel'nosti. – 2004. – № 3. – S. 8.
Davydov D.A., Sharafiev R.G. Proektirovanie sistem adaptivnogo testovogo kontrolya // Pedagogicheskiy zhurnal Bashkortostana. – 2006. – T. 2. – № 3. – S. 39-59.
Guzik V.F., Lyapuntsova E.V., Kostyuk A.I., Chernyy S.A. Printsipy razrabotki sistem testovogo kontrolya znaniy // Izvestiya Yuzhnogo federal'nogo universiteta. Tekhnicheskie nauki. – 2002. – T. 25. – № 2. – S. 164-166.
Vetoshkin V.M. Bazy dannykh. – M: VVIA im. prof. N.E. Zhukovskogo. – 2005. – 388 s.
Vorona A.A., Gerasimenko V.D., Kozlovskiy E.A., Kukushkin Yu.A., Bogomolov A.V. Mediko-sotsial'noe prognozirovanie professional'noy gotovnosti vypusknika voenno-uchebnogo zavedeniya // Voenno-meditsinskiy zhurnal. – 2012. – T. 333. – № 1. – S. 40.
Bogomolov A.V., Zueva T.V., Chikova S.S., Golosovskiy M.S. Ekspertno-analiticheskoe obosnovanie prioritetnykh napravleniy sovershenstvovaniya sistemy preduprezhdeniya biologicheskikh terroristicheskikh aktov // Informatika i sistemy upravleniya. – 2009. – № 4. – S. 134-136.
Bogomolov A.V. Kontseptsiya matematicheskogo obespecheniya diagnostiki sostoyaniya cheloveka // Informatika i sistemy upravleniya. – 2008. – № 2 (16). – S. 11-13.
Ushakov I.B., Bogomolov A.V. Informatizatsiya programm personifitsirovannoy adaptatsionnoy meditsiny // Vestnik Rossiyskoy akademii meditsinskikh nauk. – 2014. – № 5-6. – S. 124-128.
Bazanov V.M., Vetoshkin V.M., Lyalyuk I.N., Sayapin O.V., Sel'vesyuk N.I. Avtomatizirovannye sistemy upravleniya poletami i vozdushnym dvizheniem aviatsii RF. – M.: VUNTs VVS «VVA im. professora N.E. Zhukovskogo i Yu.A Gagarina». – 2010. – 209 s.
Vinogradov A.N., Makarenkov S.A., Chirov D.S. Primenenie metodov data mining dlya formirovaniya bazy znaniy ekspertnoy sistemy klassifikatsii radiosignalov // T-Comm: Telekommunikatsii i transport. – 2010. – T. 4. – № 11. – S. 61-64.
Golosovskiy M.S. Model' zhiznennogo tsikla razrabotki programmnogo obespecheniya v ramkakh nauchno-issledovatel'skikh rabot // Avtomatizatsiya. Sovremennye tekhnologii. – 2014. – № 1. – S. 43-46.
Skuratovskiy N.I., Zinkin V.N., Bogomolov A.V. Avtomatizirovannaya podderzhka ergonomicheskoy ekspertizy sredstv individual'noy zashchity ot aviatsionnogo shuma // Chelovecheskiy faktor: problemy psikhologii i ergonomiki. 2014. № 1 (68). S. 54-57.
Bogomolov A.V., Kukushkin Yu.A. Avtomatizatsiya personifitsirovannogo monitoringa usloviy truda // Avtomatizatsiya. Sovremennye tekhnologii. 2015. № 3. S. 6-8.
Kozlov V.E., Bogomolov A.V., Rudakov S.V., Olenchenko V.T. Matematicheskoe obespechenie obrabotki reytingovoy informatsii v zadachakh ekspertnogo otsenivaniya // Mir izmereniy. 2012. № 9. S. 42-49.
Esev A.A., Merezhko A.N., Tkachuk A.V. Tekhnologiya kvalimetrii tekhnicheskogo urovnya slozhnykh sistem // Vestnik komp'yuternykh i informatsionnykh tekhnologiy. 2014. № 7 (121). S. 28-34

Аннотация: The aim of the research is to solve the problem of choosing the application of geographic information system, optimal in performance for use in the interest of the study of maritime and coastal zones. Some software products presented on the market of geographic information systems can be used as alternatives. The assessment quality indicators are individual ratings of basic features implementation: building contour relief; calculation of the flooded area; construction of three-dimensional models; create custom layers; the creation of custom objects. The presented solution is based on a modified fuzzy analytic hierarchy process method. Methods use in the research: qualimetry complex systems, analysis of hierarchically organized structures, fuzzy logic, geoinformatics, matrix calculus, computational mathematics. The main conclusions of the study is that the use of a modified fuzzy hierarchy analysis method allowed to find a solution to the problem of choosing an alternative embodiment, a hierarchically organized system meets the quality criterion with given functions of mutual preferences of criteria and alternatives, obtained on the basis of expert opinion aggregation domain.

Ключевые слова: preference among criteria, geographic information systemi, analytic hierarchy process, hierarchical convolution, fuzzy hierarchy, linguistic preference function, group selection of alternatives, preference for alternatives, geoinformatics, monitoring of water areas

Библиография:
Esev A.A., Merezhko A.N., Tkachuk A.V. Tekhnologiya kvalimetrii tekhnicheskogo urovnya slozhnykh sistem // Vestnik komp'yuternykh i informatsionnykh tekhnologiy. 2014. № 7 (121). S. 28-34.
Fedorov M.V., Kalinin K.M., Bogomolov A.V., Stetsyuk A.N. Matematicheskaya model' avtomatizirovannogo kontrolya vypolneniya meropriyatiy v organakh voennogo upravleniya // Informatsionno-izmeritel'nye i upravlyayushchie sistemy. 2011. T. 9. № 5. S. 46-54.
Saati T.L. Prinyatie resheniy pri zavisimostyakh i obratnykh svyazyakh: analiticheskie seti / Per. s angl. O.N.Andreychikovoy; pod red. A.V.Andreychikova. M.: URSS, 2010. 357 s.
Kukushkin Yu.A., Bogomolov A.V., Ushakov I.B. Matematicheskoe obespechenie otsenivaniya sostoyaniya material'nykh sistem // Informatsionnye tekhnologii. 2004. № 7 (prilozhenie). 32 s.
Bogomolov A.V., Zueva T.V., Chikova S.S., Golosovskiy M.S. Ekspertno-analiticheskoe obosnovanie prioritetnykh napravleniy sovershenstvovaniya sistemy preduprezhdeniya biologicheskikh terroristicheskikh aktov // Informatika i sistemy upravleniya. 2009. № 4. S. 134-136.
Chirov D.S. Metodicheskiy podkhod k obosnovaniyu tekhnicheskikh kharakteristik kompleksov radiomonitoringa dlya resheniya zadach raspoznavaniya istochnikov radioizlucheniya // T-Comm: Telekommunikatsii i transport. 2011. T. 5. № 11. S. 85-87.
Molchanov V.O., Golosovskiy M.S. Analiz metodov provedeniya gruppovoy ekspertizy pri otsenke effektivnosti realizatsii meropriyatiy gosudarstvenno-chastnogo partnerstva // Gorizonty ekonomiki. 2012. № 3. S. 53-55.
Bogomolov A.V. Kontseptsiya matematicheskogo obespecheniya diagnostiki sostoyaniya cheloveka // Informatika i sistemy upravleniya. 2008. № 2 (16). S. 11-13.
Kozlov V.E., Bogomolov A.V., Rudakov S.V., Olenchenko V.T. Matematicheskoe obespechenie obrabotki reytingovoy informatsii v zadachakh ekspertnogo otsenivaniya // Mir izmereniy. 2012. № 9. S. 42-49.
Sizo A.V. Primenenie GIS dlya integral'noy otsenki kachestva poverkhnostnykh vod [Elektronnyy resurs] URL: http://eco.com.ua/sites/eco.com.ua/files/lib1/konf/3vze/zb_m/t1/tom_1_s02_p_128_130.pdf.
Vinogradov A.N., Makarenkov S.A., Chirov D.S. Primenenie metodov data mining dlya formirovaniya bazy znaniy ekspertnoy sistemy klassifikatsii radiosignalov // T-Comm: Telekommunikatsii i transport. 2010. T. 4. № 11. S. 61-64.
Kraev D.A. Ekologicheskiy monitoring i ispol'zovanie web-gis tekhnologiy // Onv . 2012. №2-114. S.196-199.
Zharikov V.V., Preobrazhenskiy B.V. Maket pribrezhno-morskogo kadastra [Elektronnyy resurs] URL: http://pacificinfo.ru/data/cdrom/kis/html/2_6_10.html
Viktorov S.V., Kil'dyushevskiy E.I., Kirsanov A.A., Pertsov A.V. K voprosu o kadastre morskikh beregov // Otechestvennaya geologiya, 1999. № 6. S. 77-78.
Golosovskiy M.S. Model' zhiznennogo tsikla razrabotki programmnogo obespecheniya v ramkakh nauchno-issledovatel'skikh rabot // Avtomatizatsiya. Sovremennye tekhnologii. 2014. № 1. S. 43-46.
Bogomolov A.V., Kukushkin Yu.A. Avtomatizatsiya personifitsirovannogo monitoringa usloviy truda // Avtomatizatsiya. Sovremennye tekhnologii. 2015. № 3. S. 6-8.
Esev A.A., Soldatov A.S., Pushkarskiy E.Yu. Metod kvalimetrii slozhnykh tekhnicheskikh sistem pri provedenii ikh ispytaniy // Nauchno-metodicheskiy elektronnyy zhurnal "Kontsept". 2013. T. 4. S. 1191-1195.
Kukushkin Yu.A., Bogomolov A.V., Ushakov I.B. Matematicheskoe obespechenie otsenivaniya sostoyaniya material'nykh sistem // Informatsionnye tekhnologii. 2004. № 7 (prilozhenie). 32 s.
Bogomolov A.V., Dragan S.P. Avtomatizirovannyy monitoring i tekhnologii obespecheniya akusticheskoy bezopasnosti personala // Avtomatizatsiya. Sovremennye tekhnologii. 2015. № 4. S. 25-29.
Korobov N.V., Kotov N.M., Lebedev G.S., Loshakov L.A., Yavorskiy A.N. Postroenie informatsionnoy sistemy otsenki meditsinskikh tekhnologiy // Informatsionno-izmeritel'nye i upravlyayushchie sistemy. 2013. T. 11. № 10. S. 51-55.
Kolomiets L.V., Fedorov M.V., Bogomolov A.V., Merezhko A.N., Soldatov A.S., Esev A.A. Metod podderzhki prinyatiya resheniy po upravleniyu resursami pri ispytaniyakh aviatsionnoy tekhniki // Informatsionno-izmeritel'nye i upravlyayushchie sistemy. 2010. T. 8. № 5. S. 38-40.
Fedorov M.V., Kalinin K.M., Bogomolov A.V., Stetsyuk A.N. Matematicheskaya model' avtomatizirovannogo kontrolya vypolneniya meropriyatiy v organakh voennogo upravleniya // Informatsionno-izmeritel'nye i upravlyayushchie sistemy. 2011. T. 9. № 5. S. 46-54.

References (transliteration):
Esev A.A., Merezhko A.N., Tkachuk A.V. Tekhnologiya kvalimetrii tekhnicheskogo urovnya slozhnykh sistem // Vestnik komp'yuternykh i informatsionnykh tekhnologiy. 2014. № 7 (121). S. 28-34.
Fedorov M.V., Kalinin K.M., Bogomolov A.V., Stetsyuk A.N. Matematicheskaya model' avtomatizirovannogo kontrolya vypolneniya meropriyatiy v organakh voennogo upravleniya // Informatsionno-izmeritel'nye i upravlyayushchie sistemy. 2011. T. 9. № 5. S. 46-54.
Saati T.L. Prinyatie resheniy pri zavisimostyakh i obratnykh svyazyakh: analiticheskie seti / Per. s angl. O.N.Andreychikovoy; pod red. A.V.Andreychikova. M.: URSS, 2010. 357 s.
Kukushkin Yu.A., Bogomolov A.V., Ushakov I.B. Matematicheskoe obespechenie otsenivaniya sostoyaniya material'nykh sistem // Informatsionnye tekhnologii. 2004. № 7 (prilozhenie). 32 s.
Bogomolov A.V., Zueva T.V., Chikova S.S., Golosovskiy M.S. Ekspertno-analiticheskoe obosnovanie prioritetnykh napravleniy sovershenstvovaniya sistemy preduprezhdeniya biologicheskikh terroristicheskikh aktov // Informatika i sistemy upravleniya. 2009. № 4. S. 134-136.
Chirov D.S. Metodicheskiy podkhod k obosnovaniyu tekhnicheskikh kharakteristik kompleksov radiomonitoringa dlya resheniya zadach raspoznavaniya istochnikov radioizlucheniya // T-Comm: Telekommunikatsii i transport. 2011. T. 5. № 11. S. 85-87.
Molchanov V.O., Golosovskiy M.S. Analiz metodov provedeniya gruppovoy ekspertizy pri otsenke effektivnosti realizatsii meropriyatiy gosudarstvenno-chastnogo partnerstva // Gorizonty ekonomiki. 2012. № 3. S. 53-55.
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Kozlov V.E., Bogomolov A.V., Rudakov S.V., Olenchenko V.T. Matematicheskoe obespechenie obrabotki reytingovoy informatsii v zadachakh ekspertnogo otsenivaniya // Mir izmereniy. 2012. № 9. S. 42-49.
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Vinogradov A.N., Makarenkov S.A., Chirov D.S. Primenenie metodov data mining dlya formirovaniya bazy znaniy ekspertnoy sistemy klassifikatsii radiosignalov // T-Comm: Telekommunikatsii i transport. 2010. T. 4. № 11. S. 61-64.
Kraev D.A. Ekologicheskiy monitoring i ispol'zovanie web-gis tekhnologiy // Onv . 2012. №2-114. S.196-199.
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Аннотация: in this paper a complex model based on the theory of fuzzy sets is proposed for the automatic analysis of the results of self- evaluation of quality of management system of the structural unit of the university. The model consists of 11 modules, each module is a fuzzyproduction subsystem. The article shows a graphical representation of the membership functions of the input linguistic variables, a fragment of the base of fuzzy productions rules consisting of 125 rules, a sample of surface of fuzzy inference and a demo of the proposed model. The authors use fuzzy inference algorithm, suggested by E. Mamdani, implemented in FuzzyTECH software environment. The novelty of the presented complex fuzzy-production model is in the use of the theory of fuzzy sets, which have not yet been applied in analysis of the results of self-evaluation of quality of management system of the structural unit of the university. Testing of the model on situational examples proved its adequacy in simulated situations.

Ключевые слова: quality management system, self-evaluation, efficiency evaluation, fuzzy set, fuzzy-production model, linguistic variable, term-set, universal set, fuzzy productions rule, surface of fuzzy inference

Библиография:
Sedova N.A. Razrabotka intellektual'nykh sistem na baze nechetkoy logiki v FuzzyTech (metodicheskie ukazaniya k laboratornoy rabote). Vladivostok: MGU im. adm. G.I. Nevel'skogo, 2012. – 56 s.
Leonenkov A.V. Nechetkoe modelirovanie v srede MATLAB i fuzzyTECH. SPb: BKhV-Peterburg, 2005 – 736 s.
Ovcharenko A.G., Val'ter Yu.R. K voprosu otsenki effektivnosti sistemy menedzhmenta kachestva vuza // Standarty i kachestvo [Elektronnyy resurs]. – Rezhim dostupa: http://ria-stk.ru/stq/adetail.php?ID=48362.
Standart organizatsii. Sistema menedzhmenta kachestva. STO 8.4.01-2010. Samootsenka sistemy menedzhmenta kachestva s vklyucheniem akkreditatsionnykh pokazateley. – Vladivostok: MGU im. adm. G.I. Nevel'skogo, 2011. – 38 s.
Emaletdinova L.Yu., Novikova S.V. Avtomaticheskaya generatsiya sistemy nechetkogo vyvoda tipa Mamdani na osnove sushchestvuyushchey sistemy tipa Takagi-Sugeno // Programmnye sistemy i vychislitel'nye metody, 2013. – № 2, s. 151-159.
Borovskiy A.S. Modeli otsenki zashchishchennosti potentsial'no – opasnykh ob'ektov ot ugroz s ispol'zovaniem ekspertnoy informatsii v nechetkoy forme // Kibernetika i programmirovanie.-2013.-4.-C. 14-45. DOI: 10.7256/2306-4196.2013.4.9593. URL: http://www.e-notabene.ru/kp/article_9593.html
Katasev A.S., Emaletdinova L.Yu. Nechetko-produktsionnaya kaskadnaya model' diagnostiki sostoyaniya slozhnogo ob'ekta // Programmnye sistemy i vychislitel'nye metody, 2013. – № 1, s. 69-81.
Novikova N.V. Sistema menedzhmenta kachestva v Morskom gosudarstvennom universitete im. adm. G.I. Nevel'skogo: dostizheniya i puti razvitiya // Transportnoe delo Rossii, 2011. – № 2, s. 175-177.
Sirotkin G.V. Nedostatki sovremennykh sistem menedzhmenta kachestva i vozmozhnyy sposob ikh ustraneniya // Prikaspiyskiy zhurnal: upravlenie i vysokie tekhnologii, 2013. – № 1(21), s. 145-150.

References (transliteration):
Sedova N.A. Razrabotka intellektual'nykh sistem na baze nechetkoy logiki v FuzzyTech (metodicheskie ukazaniya k laboratornoy rabote). Vladivostok: MGU im. adm. G.I. Nevel'skogo, 2012. – 56 s.
Leonenkov A.V. Nechetkoe modelirovanie v srede MATLAB i fuzzyTECH. SPb: BKhV-Peterburg, 2005 – 736 s.
Ovcharenko A.G., Val'ter Yu.R. K voprosu otsenki effektivnosti sistemy menedzhmenta kachestva vuza // Standarty i kachestvo [Elektronnyy resurs]. – Rezhim dostupa: http://ria-stk.ru/stq/adetail.php?ID=48362.
Standart organizatsii. Sistema menedzhmenta kachestva. STO 8.4.01-2010. Samootsenka sistemy menedzhmenta kachestva s vklyucheniem akkreditatsionnykh pokazateley. – Vladivostok: MGU im. adm. G.I. Nevel'skogo, 2011. – 38 s.
Emaletdinova L.Yu., Novikova S.V. Avtomaticheskaya generatsiya sistemy nechetkogo vyvoda tipa Mamdani na osnove sushchestvuyushchey sistemy tipa Takagi-Sugeno // Programmnye sistemy i vychislitel'nye metody, 2013. – № 2, s. 151-159.
Borovskiy A.S. Modeli otsenki zashchishchennosti potentsial'no – opasnykh ob'ektov ot ugroz s ispol'zovaniem ekspertnoy informatsii v nechetkoy forme // Kibernetika i programmirovanie.-2013.-4.-C. 14-45. DOI: 10.7256/2306-4196.2013.4.9593. URL: http://www.e-notabene.ru/kp/article_9593.html
Katasev A.S., Emaletdinova L.Yu. Nechetko-produktsionnaya kaskadnaya model' diagnostiki sostoyaniya slozhnogo ob'ekta // Programmnye sistemy i vychislitel'nye metody, 2013. – № 1, s. 69-81.
Novikova N.V. Sistema menedzhmenta kachestva v Morskom gosudarstvennom universitete im. adm. G.I. Nevel'skogo: dostizheniya i puti razvitiya // Transportnoe delo Rossii, 2011. – № 2, s. 175-177.
Sirotkin G.V. Nedostatki sovremennykh sistem menedzhmenta kachestva i vozmozhnyy sposob ikh ustraneniya // Prikaspiyskiy zhurnal: upravlenie i vysokie tekhnologii, 2013. – № 1(21), s. 145-150.

Аннотация: In this paper the author concretizes the principles of modeling border activities and considers the sequence of development of methods and models for border security and their classification. The basic approach (the set of methods and techniques) to development of the concept of automation is in consistent decomposition of the domain based on the classification of measures. The elements of the domain are combined into a single system by identifying flow through processes, by the use of cycles of border activity and border control. The suggested classification of management methods for regime, prevention and border measures allows obtaining a complete and consistent list of border tasks to be automated. The article also reviews a methodology of automation of border activity, based on the decomposition of the process of border security. Building the automation concept for border activity involves the use of methods of systems analysis and systems engineering, ETOM methodology, the main provisions of the theory of law, criminology, theories of security, border studies and border metrics. In order to create a highly effective decision support systems in the field of border security management the author classifies the methods of border security. The article considers and substantiates the structure of regime, prevention, security, control and operational security measures. The block diagram of the processes of the first level is build and includes two parts: border security management processes and border units’ management processes.

Ключевые слова: border activities, border security, concept, automation, automation methodology, management methods, border measures, information models, mathematical models, principles of modeling

Библиография:
Antonyan Yu.M. Kriminologiya. Izbrannye lektsii. M.: Logos, 2004.
Bakhrakh D.N. Administrativnoe pravo: Uchebnik / D.N. Bakhrakh, B.V. Rossinskiy, Yu.N. Starilov. 3-e izd., peresmotr. i dop. M.: Norma, 2008. 816 s.
Belyakov S. A., Borisov V. I., Shumov V. V. Vvedenie v pogranometriku. M.: Pogranichnaya akademiya FSB Rossii, 2012. 667 s.
Bol'shaya sovetskaya entsiklopediya: V 30 t. M.: Sovetskaya entsiklopediya, 1969-1978.
Vikipediya. ru.wikipedia.org.
GOST 53633.5-212. Rasshirennaya skhema deyatel'nosti organizatsii svyazi (eTOM). M.: Standartinform, 2013.
Gubanov D.A., Novikov D.A., Chkhartishvili A.G. Sotsial'nye seti: modeli informatsionnogo vliyaniya, upravleniya i protivoborstva / Pod red. chl.-korr. RAN D.A. Novikova. M.: Izd-vo fiz.-mat. lit-ry, 2010. 228 s.
Deyt K. Dzh. Vvedenie v sistemy baz dannykh. 8-e izd. M.: Vil'yams, 2006. 1328 s.
Efremova T. F. Novyy slovar' russkogo yazyka. Tolkovo-slovoobrazovatel'nyy. M.: Russkiy yazyk, 2000.
Kochnev I.P., Shumov V.V. Kontseptsiya preemptivnoy voyny i pogranichnaya bezopasnost' gosudarstva // XII Vserossiyskoe soveshchanie po problemam upravleniya VSPU-2014. M.: IPU RAN, 16-19 iyunya 2014. S. 6213-6219.
Kriminologiya: Uchebnik dlya vuzov / Pod obshch. red. d. yu. n., prof. A.I. Dolgovoy. 3-e izd., pererab. i dop. M.: Norma, 2005. 912 s.
Novaya filosofskaya entsiklopediya: v 4 t. / In-t filosofii Rossiyskoy akad. nauk; Gl. red. V. S. Stepin. M.: Mysl', 2000–2001.
Novikov A.M., Novikov D.A. Metodologiya. M.: SINTEG. 668 s.
Novikov D.A. Metodologiya upravleniya. M.: Knizhnyy dom «LIBROKOM», 2012. 128 s.
Novikov D.A. Teoriya upravleniya organizatsionnymi sistemami. M.: MPSI, 2005. 584 s.
Novikov D.A. Ierarkhicheskie modeli voennykh deystviy / Upravlenie bol'shimi sistemami. Vypusk 37. M.: IPU RAN, 2012. S. 25-62.
Postanovlenie Mezhparlamentskoy Assamblei gosudarstv-uchastnikov Sodruzhestva Nezavisimykh Gosudarstv ot 28 oktyabrya 2010 g. N 35-10 «O model'nom zakone «O pogranichnoy bezopasnosti».
Sovetskiy Entsiklopedicheskiy slovar'. M.: Sovetskaya entsiklopediya, 1988. 1599 s.
Tret'yakov V.T. Spetsifika televideniya kak audivizual'nogo sredstva massovoy informatsii // Zhurnalist. Sotsial'nye kommunikatsii, 2014. № 2 (14). S. 79-97.
Kh'ell L., Zigler D. Teorii lichnosti. SPb.: Piter, 2006. 607 s.
Chasovye sovetskikh granits: Kratkiy ocherk istorii pogranichnykh voysk SSSR / V.S. Ivanov, Yu.G. Kislovskiy, V.N. Andriyanov i dr.. 2-e izd., dop. M.: Politizdat, 1983. 318 s.
Shumov V.V. Vvedenie v metodologiyu pogranologii i pogranometriki / Pod red. i s predisl. V.A. Dmitrieva. M.: Knizhnyy dom «LIBROKOM», 2013. 200 s.
Shumov V.V. Klassifikatsiya i obzor pogranometricheskikh modeley / Trudy ISA RAN, 2012. Tom 62.1. S. 26-39.
Shumov V.V. Pogranichnaya bezopasnost' kak tsennost' i obshchestvennoe blago // XII Vserossiyskoe soveshchanie po problemam upravleniya VSPU-2014. M.: IPU RAN, 16-19 iyunya 2014. S. 6271-6281.
Eyres R. Nauchno-tekhnicheskoe prognozirovanie i dolgosrochnoe planirovanie. M.: Mir, 1971. 295 s.
Alesina A., Spolaore E. On the Number and Size of Nations // Quarterly Journal of Economics, 1997. Vol. 113, P. 1027–1056.
Alesina A., Spolaore E. War, Peace and the Size of Countries // Journal of Public Economics, 2005. No 89 (7), P. 1333-1354.

References (transliteration):
Antonyan Yu.M. Kriminologiya. Izbrannye lektsii. M.: Logos, 2004.
Bakhrakh D.N. Administrativnoe pravo: Uchebnik / D.N. Bakhrakh, B.V. Rossinskiy, Yu.N. Starilov. 3-e izd., peresmotr. i dop. M.: Norma, 2008. 816 s.
Belyakov S. A., Borisov V. I., Shumov V. V. Vvedenie v pogranometriku. M.: Pogranichnaya akademiya FSB Rossii, 2012. 667 s.
Bol'shaya sovetskaya entsiklopediya: V 30 t. M.: Sovetskaya entsiklopediya, 1969-1978.
Vikipediya. ru.wikipedia.org.
GOST 53633.5-212. Rasshirennaya skhema deyatel'nosti organizatsii svyazi (eTOM). M.: Standartinform, 2013.
Gubanov D.A., Novikov D.A., Chkhartishvili A.G. Sotsial'nye seti: modeli informatsionnogo vliyaniya, upravleniya i protivoborstva / Pod red. chl.-korr. RAN D.A. Novikova. M.: Izd-vo fiz.-mat. lit-ry, 2010. 228 s.
Deyt K. Dzh. Vvedenie v sistemy baz dannykh. 8-e izd. M.: Vil'yams, 2006. 1328 s.
Efremova T. F. Novyy slovar' russkogo yazyka. Tolkovo-slovoobrazovatel'nyy. M.: Russkiy yazyk, 2000.
Kochnev I.P., Shumov V.V. Kontseptsiya preemptivnoy voyny i pogranichnaya bezopasnost' gosudarstva // XII Vserossiyskoe soveshchanie po problemam upravleniya VSPU-2014. M.: IPU RAN, 16-19 iyunya 2014. S. 6213-6219.
Kriminologiya: Uchebnik dlya vuzov / Pod obshch. red. d. yu. n., prof. A.I. Dolgovoy. 3-e izd., pererab. i dop. M.: Norma, 2005. 912 s.
Novaya filosofskaya entsiklopediya: v 4 t. / In-t filosofii Rossiyskoy akad. nauk; Gl. red. V. S. Stepin. M.: Mysl', 2000–2001.
Novikov A.M., Novikov D.A. Metodologiya. M.: SINTEG. 668 s.
Novikov D.A. Metodologiya upravleniya. M.: Knizhnyy dom «LIBROKOM», 2012. 128 s.
Novikov D.A. Teoriya upravleniya organizatsionnymi sistemami. M.: MPSI, 2005. 584 s.
Novikov D.A. Ierarkhicheskie modeli voennykh deystviy / Upravlenie bol'shimi sistemami. Vypusk 37. M.: IPU RAN, 2012. S. 25-62.
Postanovlenie Mezhparlamentskoy Assamblei gosudarstv-uchastnikov Sodruzhestva Nezavisimykh Gosudarstv ot 28 oktyabrya 2010 g. N 35-10 «O model'nom zakone «O pogranichnoy bezopasnosti».
Sovetskiy Entsiklopedicheskiy slovar'. M.: Sovetskaya entsiklopediya, 1988. 1599 s.
Tret'yakov V.T. Spetsifika televideniya kak audivizual'nogo sredstva massovoy informatsii // Zhurnalist. Sotsial'nye kommunikatsii, 2014. № 2 (14). S. 79-97.
Kh'ell L., Zigler D. Teorii lichnosti. SPb.: Piter, 2006. 607 s.
Chasovye sovetskikh granits: Kratkiy ocherk istorii pogranichnykh voysk SSSR / V.S. Ivanov, Yu.G. Kislovskiy, V.N. Andriyanov i dr.. 2-e izd., dop. M.: Politizdat, 1983. 318 s.
Shumov V.V. Vvedenie v metodologiyu pogranologii i pogranometriki / Pod red. i s predisl. V.A. Dmitrieva. M.: Knizhnyy dom «LIBROKOM», 2013. 200 s.
Shumov V.V. Klassifikatsiya i obzor pogranometricheskikh modeley / Trudy ISA RAN, 2012. Tom 62.1. S. 26-39.
Shumov V.V. Pogranichnaya bezopasnost' kak tsennost' i obshchestvennoe blago // XII Vserossiyskoe soveshchanie po problemam upravleniya VSPU-2014. M.: IPU RAN, 16-19 iyunya 2014. S. 6271-6281.
Eyres R. Nauchno-tekhnicheskoe prognozirovanie i dolgosrochnoe planirovanie. M.: Mir, 1971. 295 s.
Alesina A., Spolaore E. On the Number and Size of Nations // Quarterly Journal of Economics, 1997. Vol. 113, P. 1027–1056.
Alesina A., Spolaore E. War, Peace and the Size of Countries // Journal of Public Economics, 2005. No 89 (7), P. 1333-1354.

Аннотация: Small business is the most important sector of the modern market economy, the efficiency of which is largely determined by the state of the economy as a whole. The main features of the small business lie in the way of management and decision-making methods. Modern information technology is a tool by which the effectiveness of management can be significantly improved. The subject of this study is to determine the features of the use of information technology on the basis of the analysis of the specificity of economic activity and the management of this category of subjects of the market economy. The work is based on general scientific methods of analysis and synthesis both published in the literature fragmentary information on the subject and the results of own experience of the author, reflecting his scientific interests. The author does not know any domestic publications on the subject despite its scientific and practical importance. In this regard, the article has a scientific novelty in attempts to carry out a systematic analysis of the specific use of information technology in small business. The presence of such specificity requires its consideration while building the new management technologies and developing commercial software products for small businesses.

Ключевые слова: small business, information technology, management functions, industry specifics, infrastructure, resource limitations, integrated solutions, cloud services, susceptibility of technology, business information richness

Библиография:
Rahab Adoption of Information Technology on Small Businesses: The Role of Environment, Organizational and Leader Determinant [Tekst] / Rahab, Jogiyanto Hartono // International Journal of Business, Humanities and Technology Vol. 2 № 4; June 2012 – P. 60–66.
Issledovaniya Analiticheskogo tsentra REAL-IT «IT-kadry 2010» [Elektronnyy resurs] // URL: http://www.nisse.ru/business/ article/ article_1873.html.
Saydulaev, F.S. Dinamika razvitiya malogo predprinimatel'stva v regionakh Rossii v 2012 godu [Elektronnyy resurs] / F.S. Saydulaev // Ezhekvartal'nyy informatsionno-analiticheskiy doklad / Natsional'nyy institut sistemnykh issledovaniy problem predprinimatel'stva URL: http:// http://nisse.ru/business/article/article_2053.html.
Provalov, V.S. Informatsionnye tekhnologii v malom biznese: osobennosti ispol'zovaniya. [Tekst] / V.S. Provalov // Estestvennye i matematicheskie nauki v sovremennom mire: Sb. st. po materialam XIX mezhdunar. nauch.–prakt. konf. №6 (18). Novosibirsk: Izd. «Sibak». – 2014. – s. 43–48.
Il'in I.E. Malyy biznes v Rossii: problemy i perspektivy [Tekst] / I.E. Il'in // Bankovskoe kreditovanie. – 2008. – N 2.
Znachenie malogo biznesa dlya razvitykh stran [Elektronnyy resurs] // URL: http://predprinimatel.at.ua/index/0-10.
Siropolis Nikolas K. Upravlenie malym biznesom [Tekst]: Rukovodstvo dlya predprinimateley / Nikolas K. Siropolis : Per. s angl. – M.: Delo, 1997. – S 28.
Korobeynikov A.G., Kutuzov I.M. Algoritm obfuskatsii // NB: Kibernetika i programmirovanie. - 2013. - 3. - C. 1 - 8. DOI: 10.7256/2306-4196.2013.3.9356. URL: http://www.e-notabene.ru/kp/article_9356.html
G. F. Galieva Makroekonomicheskie predposylki
i faktory razvitiya innovatsionnoy ekonomiki // Natsional'naya bezopasnost' / nota bene. - 2011. - 6. - C. 78 - 83.

References (transliteration):
Rahab Adoption of Information Technology on Small Businesses: The Role of Environment, Organizational and Leader Determinant [Tekst] / Rahab, Jogiyanto Hartono // International Journal of Business, Humanities and Technology Vol. 2 № 4; June 2012 – P. 60–66.
Issledovaniya Analiticheskogo tsentra REAL-IT «IT-kadry 2010» [Elektronnyy resurs] // URL: http://www.nisse.ru/business/ article/ article_1873.html.
Saydulaev, F.S. Dinamika razvitiya malogo predprinimatel'stva v regionakh Rossii v 2012 godu [Elektronnyy resurs] / F.S. Saydulaev // Ezhekvartal'nyy informatsionno-analiticheskiy doklad / Natsional'nyy institut sistemnykh issledovaniy problem predprinimatel'stva URL: http:// http://nisse.ru/business/article/article_2053.html.
Provalov, V.S. Informatsionnye tekhnologii v malom biznese: osobennosti ispol'zovaniya. [Tekst] / V.S. Provalov // Estestvennye i matematicheskie nauki v sovremennom mire: Sb. st. po materialam XIX mezhdunar. nauch.–prakt. konf. №6 (18). Novosibirsk: Izd. «Sibak». – 2014. – s. 43–48.
Il'in I.E. Malyy biznes v Rossii: problemy i perspektivy [Tekst] / I.E. Il'in // Bankovskoe kreditovanie. – 2008. – N 2.
Znachenie malogo biznesa dlya razvitykh stran [Elektronnyy resurs] // URL: http://predprinimatel.at.ua/index/0-10.
Siropolis Nikolas K. Upravlenie malym biznesom [Tekst]: Rukovodstvo dlya predprinimateley / Nikolas K. Siropolis : Per. s angl. – M.: Delo, 1997. – S 28.
Korobeynikov A.G., Kutuzov I.M. Algoritm obfuskatsii // NB: Kibernetika i programmirovanie. - 2013. - 3. - C. 1 - 8. DOI: 10.7256/2306-4196.2013.3.9356. URL: http://www.e-notabene.ru/kp/article_9356.html
G. F. Galieva Makroekonomicheskie predposylki
i faktory razvitiya innovatsionnoy ekonomiki // Natsional'naya bezopasnost' / nota bene. - 2011. - 6. - C. 78 - 83.

Аннотация: the article is devoted to development of algorithms and methodical provisions for obtaining relevant data and knowledge on the Internet. Under the relevant data and knowledge the authors mean the information needed to solve a problem or task. The article examines issues related to semantic data compression, providing semantic coherence of the text, defining semantic similarity of texts or phrases, as well as with automatic search of brief and accurate answers to questions. Research takes into account peculiarities of the Internet as a source of huge amounts of unstructured information. The study uses a systematic approach, theory of algorithms, algebra of logic, set theory and comparative analysis. The article presents a general algorithm for the problem-oriented auto-reviewing. The authors raise the questions of finding the semantic relationships between sentences. The article describes techniques of generating an integrated review and identifying the semantic similarity of the two texts. The authors developed an algorithm of finding the answers to question and show the results of building the information-analytical system of obtaining relevant data and knowledge on the Internet.

Ключевые слова: data, knowledge, Internet, search engines, problem-oriented auto-reviewing, semantic connections, pronominal anaphors, regular expressions, semantic similarity, ternary expression

Библиография:
Simankov V.S., Tolkachev D.M. Problemno-orientirovannoe avtoreferirovanie kak instrument poiska dannykh i znaniy // Nauka vchera, segodnya, zavtra / Sb. st. po materialam XIV mezhdunar. nauch.-prakt. konf. № 7 (14). Novosibirsk: Izd. «SibAK», 2014. – s. 31-35.
V.E. Abramov, N.N. Abramova, E.V. Nekrasova, G.N. Ross. Statisticheskiy analiz svyaznosti tekstov po obshchestvenno-politicheskoy tematike. Trudy 13y Vserossiyskoy nauchnoy konferentsii «Elektronnye biblioteki: perspektivnye metody i tekhnologii, elektronnye kollektsii» – RCDL’2011, Voronezh, Rossiya, 2011. – s. 127-133.
Simankov V.S., Tolkachev D.M. Obespechenie smyslovoy svyaznosti teksta avtoreferata // Nauchnaya diskussiya: innovatsii v sovremennom mire. № 7 (27): sbornik statey po materialam XKhVII mezhdunarodnoy zaochnoy nauchno-prakticheskoy konferentsii. – M., Izd. «Mezhdunarodnyy tsentr nauki i obrazovaniya», 2014. – s. 12-16.
Perl regular expressions [Elektronnyy resurs]. Rezhim dostupa: http://perldoc.perl.org/perlre.html (22.10.2014).
Fridl Dzh. Regulyarnye vyrazheniya, 3-e izdanie. – Per. s angl. – SPb.: Simvol-Plyus, 2008. – 608 s.
Oliver Müller. Pattern Matching with Regular Expressions in C++ [Elektronnyy resurs]. Rezhim dostupa: http://www.tldp.org/LDP/LGNET/issue27/mueller.html (22.10.2014).
Simankov V.S., Tolkachev D.M. Avtomaticheskaya otsenka smyslovogo podobiya tekstov // Tekhnicheskie nauki – ot teorii k praktike / Sb. st. po materialam XXXVII mezhdunar. nauch.-prakt. konf. № 8 (33). Novosibirsk: Izd. «SibAK», 2014. – s. 26-33.
K.Kh. Kim, A.P. Savinov. Sintaksicheskiy analizator dlya voprosno-otvetnoy sistemy. Izvestiya Tomskogo politekhnicheskogo universiteta, T. 315. № 5, 2009. – s. 133-138.
START, Natural Language Question Answering System [Elektronnyy resurs]. Rezhim dostupa: http://start.csail.mit.edu/index.php (22.10.2014).
Simankov V.S., Tolkachev D.M. Poisk otvetov na voprosy v seti Internet // Innovatsii v nauke / Sb. st. po materialam XKhXVI mezhdnar. nauch.-prakt. konf. № 8 (33). Novosibirsk: Izd. «SibAK», 2014. – s. 28-35.
Semanticheskaya poiskovaya sistema AskNet [Elektronnyy resurs]. Rezhim dostupa: http://www.asknet.ru/ (22.10.2014).
Yandeks [Elektronnyy resurs]. Rezhim dostupa: http://www.yandex.ru/ (22.10.2014)

References (transliteration):
Simankov V.S., Tolkachev D.M. Problemno-orientirovannoe avtoreferirovanie kak instrument poiska dannykh i znaniy // Nauka vchera, segodnya, zavtra / Sb. st. po materialam XIV mezhdunar. nauch.-prakt. konf. № 7 (14). Novosibirsk: Izd. «SibAK», 2014. – s. 31-35.
V.E. Abramov, N.N. Abramova, E.V. Nekrasova, G.N. Ross. Statisticheskiy analiz svyaznosti tekstov po obshchestvenno-politicheskoy tematike. Trudy 13y Vserossiyskoy nauchnoy konferentsii «Elektronnye biblioteki: perspektivnye metody i tekhnologii, elektronnye kollektsii» – RCDL’2011, Voronezh, Rossiya, 2011. – s. 127-133.
Simankov V.S., Tolkachev D.M. Obespechenie smyslovoy svyaznosti teksta avtoreferata // Nauchnaya diskussiya: innovatsii v sovremennom mire. № 7 (27): sbornik statey po materialam XKhVII mezhdunarodnoy zaochnoy nauchno-prakticheskoy konferentsii. – M., Izd. «Mezhdunarodnyy tsentr nauki i obrazovaniya», 2014. – s. 12-16.
Perl regular expressions [Elektronnyy resurs]. Rezhim dostupa: http://perldoc.perl.org/perlre.html (22.10.2014).
Fridl Dzh. Regulyarnye vyrazheniya, 3-e izdanie. – Per. s angl. – SPb.: Simvol-Plyus, 2008. – 608 s.
Oliver Müller. Pattern Matching with Regular Expressions in C++ [Elektronnyy resurs]. Rezhim dostupa: http://www.tldp.org/LDP/LGNET/issue27/mueller.html (22.10.2014).
Simankov V.S., Tolkachev D.M. Avtomaticheskaya otsenka smyslovogo podobiya tekstov // Tekhnicheskie nauki – ot teorii k praktike / Sb. st. po materialam XXXVII mezhdunar. nauch.-prakt. konf. № 8 (33). Novosibirsk: Izd. «SibAK», 2014. – s. 26-33.
K.Kh. Kim, A.P. Savinov. Sintaksicheskiy analizator dlya voprosno-otvetnoy sistemy. Izvestiya Tomskogo politekhnicheskogo universiteta, T. 315. № 5, 2009. – s. 133-138.
START, Natural Language Question Answering System [Elektronnyy resurs]. Rezhim dostupa: http://start.csail.mit.edu/index.php (22.10.2014).
Simankov V.S., Tolkachev D.M. Poisk otvetov na voprosy v seti Internet // Innovatsii v nauke / Sb. st. po materialam XKhXVI mezhdnar. nauch.-prakt. konf. № 8 (33). Novosibirsk: Izd. «SibAK», 2014. – s. 28-35.
Semanticheskaya poiskovaya sistema AskNet [Elektronnyy resurs]. Rezhim dostupa: http://www.asknet.ru/ (22.10.2014).
Yandeks [Elektronnyy resurs]. Rezhim dostupa: http://www.yandex.ru/ (22.10.2014)

Аннотация: Medical diagnostics is one of the most difficult tasks of practical health care. Currently, there is a need for appliance of information and communication technologies in medicine, especially in solving the task of creating diagnostic telemedicine systems. This is the cheapest and easiest way to organize telemedical diagnosis at any distance. A user-patient sends medical information to the system via telecommunication channels. The system prepares the diagnostic conclusion based on a set of symptoms received in real time and outputs the solutions to a patient. If the patient does not accept the decision, he may request the system solution from expert physicians. In that case the system organizes the dialogue with physicians in delayed mode. Then the system automatically generates and sends questionnaires to doctors of the assumed specialty. Then doctors form the diagnostic answers to the questions and send them by email. Thus, the telemedicine expert system for differential diagnosis is to perform a medical diagnosis in a reasonable time after the patient enters detected symptoms. Also, the system should allow the patient to communicate with physicians through the use of web technologies that allow patients to receive medical diagnosis outside the clinic. The authors suggest that architecture for this system should be based on the principles of creating web applications and describe the basic levels of web-based systems. The article presents a scheme of a database with a description of the tables for creating the system. This work is useful for software implementation of the medical expert system of differential diagnosis.

Ключевые слова: medicine, diagnosis, expert system, internet, web-application, IIS webserver, ASP.NET web-forms, CMS DotNetNuke, DBMS MS-SQL Server, business logics

Библиография:
Mak-Donal'd M., Frimen A., Shpushta M. Microsoft ASP.NET 4 s primerami na S# 2010 dlya professionalov, 4-e izd. : Per. s angl. – M. : OOO «I.D. Vil'yame», 2011. – 1424 s. : il. – Paral. tit. angl.
Petkovich D. Microsoft SQL Server 2008. Rukovodstvo dlya nachinayushchikh: Per. s angl.-SPb.: BKhV-Peterburg, 2009.-752 s.: il.
Burtsev M.V., Povoroznyuk A.I. Programmnaya realizatsiya kombinirovannogo reshayushchego pravila dlya zadach meditsinskoy diagnostiki / M.V. Burtsev, A.I. Povoroznyuk // Vіsnik NTU «KhPІ». Tematichniy vipusk: Іnformatika і modelyuvannya. – Kharkіv: NTU «KhPІ». – 2010. – № 21. – S. 11–16.
Stanek U. Internet Information Server (IIS) 7.0. Spravochnik administratora: Per. s angl.-M.: Izdatel'stvo Russkaya redaktsiya; SPb.: BKhV-Peterburg, 2009.-528 s.: il

References (transliteration):
Mak-Donal'd M., Frimen A., Shpushta M. Microsoft ASP.NET 4 s primerami na S# 2010 dlya professionalov, 4-e izd. : Per. s angl. – M. : OOO «I.D. Vil'yame», 2011. – 1424 s. : il. – Paral. tit. angl.
Petkovich D. Microsoft SQL Server 2008. Rukovodstvo dlya nachinayushchikh: Per. s angl.-SPb.: BKhV-Peterburg, 2009.-752 s.: il.
Burtsev M.V., Povoroznyuk A.I. Programmnaya realizatsiya kombinirovannogo reshayushchego pravila dlya zadach meditsinskoy diagnostiki / M.V. Burtsev, A.I. Povoroznyuk // Vіsnik NTU «KhPІ». Tematichniy vipusk: Іnformatika і modelyuvannya. – Kharkіv: NTU «KhPІ». – 2010. – № 21. – S. 11–16.
Stanek U. Internet Information Server (IIS) 7.0. Spravochnik administratora: Per. s angl.-M.: Izdatel'stvo Russkaya redaktsiya; SPb.: BKhV-Peterburg, 2009.-528 s.: il

Аннотация: the article reviews AND-OR trees with defined cost of arcs or vertices, widely used in artificial intelligence systems. The author describes branch and bound algorithm allowing enumerating all decision trees with cost less or equaling to defined constant value. The complexity of producing another decision tree is O(N), where N is the number of vertices of the AND-OR tree. The article shows a way to use stack for information organization, reducing the memory consumption to O(N) without changing the previous complexity estimate. The article presents software realization of the described algorithm, proving the theoretical evaluation of complexity and amount of the required memory in tests. The effectiveness of search is increased by introduction of the concept of a minimal AND-OR tree cost-constraint subset, which ensures the existence of valid decision trees while descending the decision tree. The decision subtrees are not listed separately but organized in blocs of AND-OR subtress in which all options are possible.

Ключевые слова: artificial intelligence, algorithm, enumeration, AND-OR graph, AND-OR tree, decision tree, AND-OR tree version, cost, cost constraint

Контактная информация: Galochkin Vladimir Ivanovich, 424000, Russia, Yoshkar-Ola, pl. Lenina, 3

Библиография:
1. Nil'son, N. Iskusstvennyy intellekt. Metody poiska resheniy / N. Nil'son. – M.: Mir, 1973. – 270 c.
2. Avtomatizatsiya poiskovogo konstruirovaniya / A. I. Polovinkin, N. K. Bobkov, G. Ya. Bush i dr. Pod redaktsiey
A. I. Polovinkina. – M.: Radio i svyaz', 1981. –344 s.
3. Bratko, I. Programmirovanie na yazyke Prolog dlya iskusstvennogo intellekta / I. Bratko – M.: Mir,
1990. – 560 s.
4. Kruchinin, V.V. Metody postroeniya algoritmov generatsii i numeratsii kombinatornykh ob'ektov na osnove
derev'ev I/ILI / V.V. Kruchinin. – Tomsk: V-Spektr, 2007. – 200 s.
5. Reyngol'd, E. N. Kombinatornye algoritmy. Teoriya i praktika / E. Reyngol'd, Yu. Nivergel't, N. Deo. – M.:
Mir, 1980. – 476 s.

References (transliteration):
1. Nil'son, N. Iskusstvennyy intellekt. Metody poiska resheniy / N. Nil'son. – M.: Mir, 1973. – 270 c.
2. Avtomatizatsiya poiskovogo konstruirovaniya / A. I. Polovinkin, N. K. Bobkov, G. Ya. Bush i dr. Pod redaktsiey
A. I. Polovinkina. – M.: Radio i svyaz', 1981. –344 s.
3. Bratko, I. Programmirovanie na yazyke Prolog dlya iskusstvennogo intellekta / I. Bratko – M.: Mir,
1990. – 560 s.
4. Kruchinin, V.V. Metody postroeniya algoritmov generatsii i numeratsii kombinatornykh ob'ektov na osnove
derev'ev I/ILI / V.V. Kruchinin. – Tomsk: V-Spektr, 2007. – 200 s.
5. Reyngol'd, E. N. Kombinatornye algoritmy. Teoriya i praktika / E. Reyngol'd, Yu. Nivergel't, N. Deo. – M.:
Mir, 1980. – 476 s.

Аннотация: despite the reduction in corporate market volumes for many branches of commercial banks the center of attraction for the front-office subdivisions increasingly shifts towards retail segment. However, the huge competition in retail forces banks to move towards the unpopular measures of labor intensification and personnel optimization. Under such conditions traditional ways of decision making typical for HR do not work well. The new approaches for retrieving data for decision making must be found, new tools for objective analysis of the situation and developing optimal solutions are needed. The article is devoted to a description of a practical solution to the mentioned above problem. In other words, the subject of the study presented in this paper is HR-process in retail subsystem of a commercial bank. The research of the process of decision making in the HR-subsystem of a commercial bank was held in terms of system analysis. The author developed visual model representing processes typical for the subsystem, revealed the sources of information for decision making. Next, using the built model, based on the simulation techniques and methods of numerical optimization, the technology of automated preparation of recommendations on personnel policy for the retail subsystem of credit institutions was developed. The approach suggested in this paper is fundamentally different from its analogues by the width of coverage of available sources of information and methods of extracting knowledge from databases. Suggested approach for the first time implements simulation modeling of operational risks for retail subsystem of the commercial bank, allowing calculating a complete probability space of outcomes. Thus the higher accuracy and stability calculations is provided compared to Monte Carlo methods with comparable computational cost.

Ключевые слова: computational complexity, simulation modeling, Petri nets, risk, decision making support, personnel management, commercial bank, class of complexity, optimization, Nelder-Mead method

Контактная информация: Borodin Andrei Viktorovich, 424000, Russia, Yoshkar-Ola, pl. Lenina, 3

Библиография:
1. Bandi, B. Metody optimizatsii. Vvodnyy kurs / B. Bandi. – M.: Radio i svyaz', 1988. – 128 s.
2. Borodin, A. V. Igry na setyakh Petri / A. V. Borodin // Obozrenie prikladnoy i promyshlennoy matematiki.
– 2002. – T. 9. – V. 1. – S. 167-168.
3. Borodin, A. V. Matematicheskie modeli upravleniya kreditnym portfelem kommercheskogo banka / A. V.
Borodin. – Yoshkar-Ola: Mariyskiy gosudarstvennyy tekhnicheskiy universitet, 1998. – 168 s.
4. Borodin, A. V. Modeli upravleniya personalom v roznichnoy podsisteme kommercheskogo banka / A. V. Borodin
// Ekonomika i sotsium: sovremennye modeli razvitiya obshchestva v aspekte globalizatsii: materialy III
mezhdunarodnoy nauchno-prakticheskoy konferentsii (12 fevralya 2014g.). – Saratov: Izdatel'stvo TsPM
«Akademiya Biznesa», 2014. – S. 26-30.
5. Borodin, A. V. Seti Petri s nechetkim povedeniem v zadachakh imitatsionnogo modelirovaniya evolyutsii
investitsionnykh i strakhovykh portfeley / A. V. Borodin // Obozrenie prikladnoy i promyshlennoy
matematiki. – 2000. – T. 7. – V. 2. – S. 321-322.
6. Borodin, A. V. Teoretiko-igrovye modeli protsessov riska nad setyami Petri / A. V. Borodin //
Modelirovanie i analiz bezopasnosti i riska v slozhnykh sistemakh: Trudy mezhdunarodnoy nauchnoy shkoly
MABR-2006. – SPb.: GOU VPO «SPbGUAP», 2006. – S. 305-307.
7. Borodin, A. V. Upravlenie HR-protsessom v kommercheskom banke na osnove tekhnologiy imitatsionnogo
modelirovaniya / A. V. Borodin // Tekhnicheskie nauki — ot teorii k praktike. Sbornik statey po materialam
XXXII mezhdunarodnoy nauchno-prakticheskoy konferentsii. № 3 (28). – Novosibirsk: Izdatel'stvo «SibAK»,
2014. – S. 7-13.
8. Grant, K. L. Upravlenie riskami v treydinge: Kak povysit' pribyl'nost' s pomoshch'yu kontrolya nad riskami
/ K. L. Grant. – M.: Mir, 2005. – 349 s.
9. Damodaran, A. Investitsionnaya otsenka. Instrumenty i tekhnika otsenki lyubykh aktivov / A. Damodaran. –
M.: Al'pina Biznes Buks, 2004. – 1342 s.
10. Dzhekel, P. Primenenie metodov Monte-Karlo v finansakh / P. Dzhekel. – M.: Internet-treyding, 2004 – 263 s.
11. Dubrov, A. M. Modelirovanie riskovykh situatsiy v ekonomike i biznese / A. M. Dubrov, B. N. Lagosha, E. Yu.
Khrustalev. – M.: Finansy i statistika, 2003. – 223 s.
12. Ermakov, S. M. Metod Monte-Karlo v vychislitel'noy matematike. Vvodnyy kurs / S. M. Ermakov. – SPb.:
Nevskiy Dialekt, Binom. Laboratoriya znaniy, 2009. – 192 s.
13. Urazaeva, T. A. Algebraicheskie aspekty imitatsionnogo modelirovaniya portfeley srochnykh finansovykh
instrumentov / T. A. Urazaeva, A. V. Borodin // Materialy konferentsii «Imitatsionnoe modelirovanie.
Teoriya i praktika». IMMOD-2013. T. 1. – Kazan': Izdatel'stvo «Fen» Akademii nauk RT, 2013. – S. 282-286.
14. Urazaeva, T. A. Algebra riskov / T. A. Urazaeva. – Yoshkar-Ola: Povolzhskiy gosudarstvennyy tekhnologicheskiy
universitet, 2013. – 209 s.
15. Arora, S. Computational Complexity: A Modern Approach / S. Arora, V. Barak. – New York: Cambridge University
Press, 2009. – 579 p.
16. Holton, G. A. Value-at-Risk: Theory and Practice / G. A. Holton. – Academic Press, 2003. – 405 p.
17. Papadimitriou, C. H. Computational complexity / C. H. Papadimitriou. – New York: Addison-Wesley Publishing Company,
Inc., 1994. – 523 p.
18. Sipser, M. Introduction to the Theory of Computation / M. Sipser. – Boston: Thomson Course Technology,
2006. – 431 p.
19. Chkhutiashvili L.V. Rossiyskie kommercheskie banki v sovremennykh usloviyakh: osnovnye napravleniya
kachestvennogo sovershenstvovaniya i perspektivy razvitiya // NB: Finansovoe pravo i upravlenie. -
2013. - 2. - C. 51 - 76. DOI: 10.7256/2306-4234.2013.2.641. URL: http://www.e-notabene.ru/flc/article_641.html
20. Anisimova Z.M. Povyshenie effektivnosti strategicheskogo bankovskogo menedzhmenta v sovremennykh
usloviyakh // Trendy i upravlenie. - 2013. - 4. - C. 83 - 102. DOI: 10.7256/2307-9118.2013.4.10522.
21. V.L. Shul'ts Stsenarnyy analiz v upravlenii sotsial'noy bezopasnost'yu // Natsional'naya bezopasnost' /
nota bene. - 2012. - 6. - C. 4 - 21.

References (transliteration):
1. Bandi, B. Metody optimizatsii. Vvodnyy kurs / B. Bandi. – M.: Radio i svyaz', 1988. – 128 s.
2. Borodin, A. V. Igry na setyakh Petri / A. V. Borodin // Obozrenie prikladnoy i promyshlennoy matematiki.
– 2002. – T. 9. – V. 1. – S. 167-168.
3. Borodin, A. V. Matematicheskie modeli upravleniya kreditnym portfelem kommercheskogo banka / A. V.
Borodin. – Yoshkar-Ola: Mariyskiy gosudarstvennyy tekhnicheskiy universitet, 1998. – 168 s.
4. Borodin, A. V. Modeli upravleniya personalom v roznichnoy podsisteme kommercheskogo banka / A. V. Borodin
// Ekonomika i sotsium: sovremennye modeli razvitiya obshchestva v aspekte globalizatsii: materialy III
mezhdunarodnoy nauchno-prakticheskoy konferentsii (12 fevralya 2014g.). – Saratov: Izdatel'stvo TsPM
«Akademiya Biznesa», 2014. – S. 26-30.
5. Borodin, A. V. Seti Petri s nechetkim povedeniem v zadachakh imitatsionnogo modelirovaniya evolyutsii
investitsionnykh i strakhovykh portfeley / A. V. Borodin // Obozrenie prikladnoy i promyshlennoy
matematiki. – 2000. – T. 7. – V. 2. – S. 321-322.
6. Borodin, A. V. Teoretiko-igrovye modeli protsessov riska nad setyami Petri / A. V. Borodin //
Modelirovanie i analiz bezopasnosti i riska v slozhnykh sistemakh: Trudy mezhdunarodnoy nauchnoy shkoly
MABR-2006. – SPb.: GOU VPO «SPbGUAP», 2006. – S. 305-307.
7. Borodin, A. V. Upravlenie HR-protsessom v kommercheskom banke na osnove tekhnologiy imitatsionnogo
modelirovaniya / A. V. Borodin // Tekhnicheskie nauki — ot teorii k praktike. Sbornik statey po materialam
XXXII mezhdunarodnoy nauchno-prakticheskoy konferentsii. № 3 (28). – Novosibirsk: Izdatel'stvo «SibAK»,
2014. – S. 7-13.
8. Grant, K. L. Upravlenie riskami v treydinge: Kak povysit' pribyl'nost' s pomoshch'yu kontrolya nad riskami
/ K. L. Grant. – M.: Mir, 2005. – 349 s.
9. Damodaran, A. Investitsionnaya otsenka. Instrumenty i tekhnika otsenki lyubykh aktivov / A. Damodaran. –
M.: Al'pina Biznes Buks, 2004. – 1342 s.
10. Dzhekel, P. Primenenie metodov Monte-Karlo v finansakh / P. Dzhekel. – M.: Internet-treyding, 2004 – 263 s.
11. Dubrov, A. M. Modelirovanie riskovykh situatsiy v ekonomike i biznese / A. M. Dubrov, B. N. Lagosha, E. Yu.
Khrustalev. – M.: Finansy i statistika, 2003. – 223 s.
12. Ermakov, S. M. Metod Monte-Karlo v vychislitel'noy matematike. Vvodnyy kurs / S. M. Ermakov. – SPb.:
Nevskiy Dialekt, Binom. Laboratoriya znaniy, 2009. – 192 s.
13. Urazaeva, T. A. Algebraicheskie aspekty imitatsionnogo modelirovaniya portfeley srochnykh finansovykh
instrumentov / T. A. Urazaeva, A. V. Borodin // Materialy konferentsii «Imitatsionnoe modelirovanie.
Teoriya i praktika». IMMOD-2013. T. 1. – Kazan': Izdatel'stvo «Fen» Akademii nauk RT, 2013. – S. 282-286.
14. Urazaeva, T. A. Algebra riskov / T. A. Urazaeva. – Yoshkar-Ola: Povolzhskiy gosudarstvennyy tekhnologicheskiy
universitet, 2013. – 209 s.
15. Arora, S. Computational Complexity: A Modern Approach / S. Arora, V. Barak. – New York: Cambridge University
Press, 2009. – 579 p.
16. Holton, G. A. Value-at-Risk: Theory and Practice / G. A. Holton. – Academic Press, 2003. – 405 p.
17. Papadimitriou, C. H. Computational complexity / C. H. Papadimitriou. – New York: Addison-Wesley Publishing Company,
Inc., 1994. – 523 p.
18. Sipser, M. Introduction to the Theory of Computation / M. Sipser. – Boston: Thomson Course Technology,
2006. – 431 p.
19. Chkhutiashvili L.V. Rossiyskie kommercheskie banki v sovremennykh usloviyakh: osnovnye napravleniya
kachestvennogo sovershenstvovaniya i perspektivy razvitiya // NB: Finansovoe pravo i upravlenie. -
2013. - 2. - C. 51 - 76. DOI: 10.7256/2306-4234.2013.2.641. URL: http://www.e-notabene.ru/flc/article_641.html
20. Anisimova Z.M. Povyshenie effektivnosti strategicheskogo bankovskogo menedzhmenta v sovremennykh
usloviyakh // Trendy i upravlenie. - 2013. - 4. - C. 83 - 102. DOI: 10.7256/2307-9118.2013.4.10522.
21. V.L. Shul'ts Stsenarnyy analiz v upravlenii sotsial'noy bezopasnost'yu // Natsional'naya bezopasnost' /
nota bene. - 2012. - 6. - C. 4 - 21.

Аннотация: the article is devoted to solving a problem of analysis of document flow in organization. Constant improvement of production process leads to intense modification of structure and amount of produced documentations and their flow ways and requires continuous studying of document flow. Currently there is no unified and universal technique of document flow analysis. Comprehensive analysis of the document flow is highly labor-consuming and requires considerable effort in collecting, systematization and analysis of data. Therefore the author concludes that there is a need to automate processes of gathering and analyzing data. The weakness interconnection between parameters of document flow and business processes evaluation makes it appropriate to use the techniques of knowledge engineering. The paper reviews multilevel model of knowledge representation, including semantic network of concepts, statements, business-processes and forecasts. Since all characteristics of document flow and processes are probabilistic, the authors suggest to use Bayesian method for system adaptation to the characteristics of the current situation. The proposed system allows to study current state of document flow in given period of time and provides an opportunity to forecast not only the “bottlenecks” in the document flow, but also predict indicators of organizational performance, depending on the characteristics of the state of document flow. As a result the use of AIS allows to bring both document flow analysis and functioning of the organization as a whole to a completely new level.

Ключевые слова: document, document flow, business process, automated informational system, database, base of knowledge, knowledge representation model, semantic network, adaptation, Bayesian treatment

Контактная информация: Usmanova Irina Viktorovna, 440026, Russia, Penza, ul. Krasnaya, d. 40

Библиография:
Korovina L.V. Analiz metodov otsenki sostoyaniya dokumentooborota organizatsii // Sovremennye problemy nauki i obrazovaniya: elektronnyy zhurnal. 2013. № 4. URL: http://www.science-education.ru/110-9783 (data obrashcheniya 24.02.2014).
Kuznetsova T.V. Dokumentooborot i ego analiz // Sekretarskoe delo. 2003. №
S. 12-15. 3. Uotermen D. Rukovodstvo po ekspertnym sistemam: Per. s angl. – M.: Mir, 1989, s 174.
Usmanova I.V. Model' predstavleniya znaniy o marshrutakh provedeniya analiza i optimizatsii dokumentooborota organizatsii // Izvestiya PGPU im. V.G. Belinskogo. 2012. № 30. S. 296-301.
Usmanova, I.V., Zabrodina L.V. Vzaimodeystvie intellektual'nykh komponentov informatsionnogo obespecheniya avtomatizirovannoy sistemy analiza i optimizatsii dokumentooborota organizatsii //Izvestiya PGPU im. V.G. Belinskogo. 2012. № 30. S. 310-318.
Usmanova I.V., Korovina L.V. Otsenka kachestvennykh kharakteristik dokumentooborota organizatsii // NB: Kibernetika i programmirovanie. 2013. № 5. S.7-17. DOI: 10.7256/2306-4196.2013.5.9774. URL: http://e-notabene.ru/kp/article_9774.html (data obrashcheniya 24.02.2014).
Usmanova I.V., Korovina L.V., Sokolova O.G. Nastroyka ekspertnoy sistemy analiza dokumentooborota na osobennosti organizatsii // Sovremennye problemy nauki i obrazovaniya: elektronnyy zhurnal. 2013. № 6. URL: http://www.science-education.ru/113-10995 (data obrashcheniya 24.02.2014).
Usmanova I.V., Korovina L.V., Sokolova O.G. Organizatsiya logicheskogo vyvoda v zadache prognozirovaniya sostoyaniya dokumentooborota i biznes-protsessov organizatsii // Sovremennye problemy nauki i obrazovaniya. 2014. № 1; URL: www.science-education.ru/115-12260 (data obrashcheniya: 04.03.2014).

References (transliteration):
Korovina L.V. Analiz metodov otsenki sostoyaniya dokumentooborota organizatsii // Sovremennye problemy nauki i obrazovaniya: elektronnyy zhurnal. 2013. № 4. URL: http://www.science-education.ru/110-9783 (data obrashcheniya 24.02.2014).
Kuznetsova T.V. Dokumentooborot i ego analiz // Sekretarskoe delo. 2003. №
S. 12-15. 3. Uotermen D. Rukovodstvo po ekspertnym sistemam: Per. s angl. – M.: Mir, 1989, s 174.
Usmanova I.V. Model' predstavleniya znaniy o marshrutakh provedeniya analiza i optimizatsii dokumentooborota organizatsii // Izvestiya PGPU im. V.G. Belinskogo. 2012. № 30. S. 296-301.
Usmanova, I.V., Zabrodina L.V. Vzaimodeystvie intellektual'nykh komponentov informatsionnogo obespecheniya avtomatizirovannoy sistemy analiza i optimizatsii dokumentooborota organizatsii //Izvestiya PGPU im. V.G. Belinskogo. 2012. № 30. S. 310-318.
Usmanova I.V., Korovina L.V. Otsenka kachestvennykh kharakteristik dokumentooborota organizatsii // NB: Kibernetika i programmirovanie. 2013. № 5. S.7-17. DOI: 10.7256/2306-4196.2013.5.9774. URL: http://e-notabene.ru/kp/article_9774.html (data obrashcheniya 24.02.2014).
Usmanova I.V., Korovina L.V., Sokolova O.G. Nastroyka ekspertnoy sistemy analiza dokumentooborota na osobennosti organizatsii // Sovremennye problemy nauki i obrazovaniya: elektronnyy zhurnal. 2013. № 6. URL: http://www.science-education.ru/113-10995 (data obrashcheniya 24.02.2014).
Usmanova I.V., Korovina L.V., Sokolova O.G. Organizatsiya logicheskogo vyvoda v zadache prognozirovaniya sostoyaniya dokumentooborota i biznes-protsessov organizatsii // Sovremennye problemy nauki i obrazovaniya. 2014. № 1; URL: www.science-education.ru/115-12260 (data obrashcheniya: 04.03.2014).

Аннотация: the article deals with problem of designing intelligent control system with the use of soft computing technologies on the example of a complex control object – redundant robot manipulator with seven degrees of freedom. It is well known, that effectiveness of means used to solve a particular task in the problem-oriented field depends on the level of compliance between the computational intelligence of the tools and the level of complexity of the problem being solved. Selection of an adequate and effective tools for particular problem-oriented field is challenging (or shows intuitive contradictions) for students, engineers and developers of new science-based high technologies. The article describes effective techniques and appliance of soft computing technologies. The authors discusses methods of usage of applied models of intelligent computing, reviews their combined use in tasks of intelligent control. The main advantage of implementation of integrated intelligent control systems is the possibility of obtaining a guaranteed result: achieving the management goals with maximum of control quality at the top level and at the same time with minimal consumption of the resource of “object of control – regulator” system on the lower level (performer) of hierarchical automatic control system.

Ключевые слова: intelligent management system, automated management system, genetic algorithm, soft computing technologies, base of knowledge, fuzzy control, management exception, subject to management, control decomposition, control action

Контактная информация: Nikolaeva Alena Valerianovna, 141980, Russia, Moskovskaya obl., Dubna, ul. Universitetskaya, 19

Библиография:
Fillips, Ch. Sistemy upravleniya s obratnoy svyaz'yu / Ch. Fillips, R. Kharbor. — M. : Laboratoriya bazovykh znaniy, 2001. — 616 c.
Mikhaylov, V. S. Teoriya upravleniya / V. S. Mikhaylov. — K : Vyshcha shkola, 1988. — 312 c.
Svidetel'stvo o gosudarstvennoy registratsii programmy dlya EVM №2011619257. Optimizator robastnykh baz znaniy dlya proektirovaniya intel-lektual'nykh sistem upravleniya na myagkikh vychisleniyakh: zayavka №2011617532 ot 11.10.2011 RF / S. V. Ul'yanov, L. V. Litvintseva, A. A. Mishin, S. V. Sorokin (RF) — Zaregistrirovano v Reestre programm dlya EVM 1.12.2011 g. (RF).
Panda, R. C. Introduction to PID Controllers − Theory, Tuning and Application to Frontier Areas / R. C. Panda. — Rijeka, Croatia : InTech, 2012. — 258 p.
Ul'yanov, S. V. Intellektual'noe robastnoe upravlenie: tekhnologii myagkikh vychisleniy / S. V. Ul'yanov [i dr.]. — M. : VNIIgeosistem, 2011. — 408 c.
P. 2709—2717. 6.Salas, F. G. Variable Gains PD Tracking Control of Robot Manipulators: Stability Analysis and Simulations / F. G. Salas, V. Santibanez, M. A. Llama, World Automation Congress (WAC), Puerto Vallarta, Mexico, 24−28 June, 2012. P. 1—6.
Meza, J. L. Fuzzy Self-Tuning PID Semiglobal Regulator for Robot Manipulators / J. L. Meza [et al.] // Industrial Electronics, IEEE Transactions. — 2012. — Vol. 59, №
Jasour, A. M. Path Tracking and Obstacle Avoidance for Redundant Robotic Arms Using Fuzzy NMPC / A. M. Jasour, M. Farrokhi, American Control Conference, Hyatt Regency Riverfront, St. Louis, MO, USA, 10−12 June, 2009. — P. 1353—1358.
— P. 211—221. 3.Yu, W. Neural PID Control of Robot Manipulators With Application to an Upper Limb Exoskeleton / W. Yu, J. Rosen // Cybernetics, IEEE Transactions. — 2013. — Vol. 43, № 2. P. 673—684.
Secara, C. Iterative genetic algorithm based strategy for obstacles avoidance of a redundant manipulator / C. Secara, L. Vladareanu // Wseas Transaction on Mathe-matics. — 2010. — Vol. 9, №
Khoogar, A. R. Obstacle Avoidance for Redundant Manipulators Using a Genetic Algorithm / A. R. Khoogar [et al.], Southeastcon´91 Conference, Williamsburg, VA, 7−10 Apr., 1991 — Vol. 1. — P. 317—320.

References (transliteration):
Fillips, Ch. Sistemy upravleniya s obratnoy svyaz'yu / Ch. Fillips, R. Kharbor. — M. : Laboratoriya bazovykh znaniy, 2001. — 616 c.
Mikhaylov, V. S. Teoriya upravleniya / V. S. Mikhaylov. — K : Vyshcha shkola, 1988. — 312 c.
Svidetel'stvo o gosudarstvennoy registratsii programmy dlya EVM №2011619257. Optimizator robastnykh baz znaniy dlya proektirovaniya intel-lektual'nykh sistem upravleniya na myagkikh vychisleniyakh: zayavka №2011617532 ot 11.10.2011 RF / S. V. Ul'yanov, L. V. Litvintseva, A. A. Mishin, S. V. Sorokin (RF) — Zaregistrirovano v Reestre programm dlya EVM 1.12.2011 g. (RF).
Panda, R. C. Introduction to PID Controllers − Theory, Tuning and Application to Frontier Areas / R. C. Panda. — Rijeka, Croatia : InTech, 2012. — 258 p.
Ul'yanov, S. V. Intellektual'noe robastnoe upravlenie: tekhnologii myagkikh vychisleniy / S. V. Ul'yanov [i dr.]. — M. : VNIIgeosistem, 2011. — 408 c.
P. 2709—2717. 6.Salas, F. G. Variable Gains PD Tracking Control of Robot Manipulators: Stability Analysis and Simulations / F. G. Salas, V. Santibanez, M. A. Llama, World Automation Congress (WAC), Puerto Vallarta, Mexico, 24−28 June, 2012. P. 1—6.
Meza, J. L. Fuzzy Self-Tuning PID Semiglobal Regulator for Robot Manipulators / J. L. Meza [et al.] // Industrial Electronics, IEEE Transactions. — 2012. — Vol. 59, №
Jasour, A. M. Path Tracking and Obstacle Avoidance for Redundant Robotic Arms Using Fuzzy NMPC / A. M. Jasour, M. Farrokhi, American Control Conference, Hyatt Regency Riverfront, St. Louis, MO, USA, 10−12 June, 2009. — P. 1353—1358.
— P. 211—221. 3.Yu, W. Neural PID Control of Robot Manipulators With Application to an Upper Limb Exoskeleton / W. Yu, J. Rosen // Cybernetics, IEEE Transactions. — 2013. — Vol. 43, № 2. P. 673—684.
Secara, C. Iterative genetic algorithm based strategy for obstacles avoidance of a redundant manipulator / C. Secara, L. Vladareanu // Wseas Transaction on Mathe-matics. — 2010. — Vol. 9, №
Khoogar, A. R. Obstacle Avoidance for Redundant Manipulators Using a Genetic Algorithm / A. R. Khoogar [et al.], Southeastcon´91 Conference, Williamsburg, VA, 7−10 Apr., 1991 — Vol. 1. — P. 317—320.

Аннотация: the main techniques for evaluate proposed variants of solutions in design and studying complex systems are simulation methods and methods of experiments scheduling. The accuracy of decision making may be increased with the use of neural network (NN) to summarize the results of simulation experiments. Predicted with such method the solutions are then tested on the simulation model. The use of genetic algorithm makes it possible to find the corresponding genetic operators that provide faster convergence for each specific task of simulation. A database of experiments allows choosing a plan of experiment according to the type of parameters of simulation model. One of the main problems that must be solved in implementation of this technique is the choice of a suitable type of a neural network that will provide high percentage of recognition and low training time. A three-layer feedforward network with a combined learning algorithm based on the use of genetic algorithm and simulated annealing algorithm was proved to be ths best neural network architecture for solving the given.

Ключевые слова: design, research, simulation methods, experiment scheduling methods, decision making, neural network, genetic algorithm, genetic operators, a three-layer network, simulated annealing algorithm

Контактная информация: Komartsova Lyudmila Georgievna, 248600, Russia, Kaluga, ul. Bazhenova, d.2, korp. №5

Библиография:
1. Komartsova L.G. Metodika imitatsionnogo modelirovaniya vychislitel'nykh sistem
s ispol'zovaniem neyronnoy seti dlya obobshcheniya rezul'tatov. Izvestiya vuzov.-ser.
Priborostroenie.-2001.-T.44.-№2.S.31-35.
2. Komartsova L.G. Research of a Genetic Algorithms Designer // Proc. of IEEE Int. Conf. on
Artificial Intelligence Systems.-Los Alamitos, California.-2002.-P.395-397.
3. Komartsova L.G., Maksimov A.V. Neyrokomp'yutery (uchebnoe posobie).-M.: Iz-vo
MGTU im. N.E. Baumana.-2002.-320 s.
4. Miller W., Glanz F., Kraft L. CMAC: An associative neural network alternative to back
propagation // Proc. of the IEEE.-1990.-V.78.-N 10.-P.1561-1567.
5. Aved'yan E.D. Assotsiativnaya neyronnaya set' SMAS // Sbornik statey "Problemy
postroeniya i obucheniya neyronnykh setey".-M.: Mashinostroenie.-1999.

References (transliteration):
1. Komartsova L.G. Metodika imitatsionnogo modelirovaniya vychislitel'nykh sistem
s ispol'zovaniem neyronnoy seti dlya obobshcheniya rezul'tatov. Izvestiya vuzov.-ser.
Priborostroenie.-2001.-T.44.-№2.S.31-35.
2. Komartsova L.G. Research of a Genetic Algorithms Designer // Proc. of IEEE Int. Conf. on
Artificial Intelligence Systems.-Los Alamitos, California.-2002.-P.395-397.
3. Komartsova L.G., Maksimov A.V. Neyrokomp'yutery (uchebnoe posobie).-M.: Iz-vo
MGTU im. N.E. Baumana.-2002.-320 s.
4. Miller W., Glanz F., Kraft L. CMAC: An associative neural network alternative to back
propagation // Proc. of the IEEE.-1990.-V.78.-N 10.-P.1561-1567.
5. Aved'yan E.D. Assotsiativnaya neyronnaya set' SMAS // Sbornik statey "Problemy
postroeniya i obucheniya neyronnykh setey".-M.: Mashinostroenie.-1999.

Аннотация: principles of cognitive organization of intelligent systems are closely related with multiagent division of functions in a multicellular organism. In opinion of the authors, cognitive centers in the human brain as well as in an intelligent system should be represented by active systems that interact with each other on the basis of the principles of collective optimization of parameters critical in the first place for preserving the integrity of the system and its survival. The article reviews a concept and definitions that are related to the ability of perception of the observer and his sensitivity thresholds. To implement the proposed formalization a library of classes was developed using C++ programming language. The library describes constructions suggested in the research. The paper describes only a part of the developed multiagent recursive cognitive architecture, but the presented realization already makes it possible to study the simplest cases of agent interaction. The research is directed on creation of self-organizing multiagent emergent systems capable of emulation of the psyche functions, goal-setting and adaptive goal-directed behavior on the basis of reality semantization and making social ties.

Ключевые слова: intelligent systems, cognitive organization, recursive cognitive architecture, library of classes, reality semantization, agent, rational thinking, semantics, formalization, recursive agent

Контактная информация: Nagoev Zalimkhan Vyacheslavovich, 360000, Russia, Kabardino-Balkariya, Nalchik, I. Armand, 37-А, kv. 2.4

Библиография:
1. Nagoev, Z. V. Formalizatsiya agenta dlya zadachi sinteza intellektual'nogo povedeniya
na osnove rekursivnoy kognitivnoy arkhitektury. / Z. VNagoev // – Materialy
mezhdunarodnogo kongressa po intellektual'nym sistemam i informatsionnym
tekhnologiyam IS&IT12, 2-9 sentyabrya, Divnomorskoe, 2012.
2. Nagoev, Z. V. Multiagent recursive cognitive architecture. / Z. V. Nagoev//– Biologically
Inspired Cognitive Architectures 2012, Proceedings of the third annual meeting of the BICA
Society, in Advances in Intelligent Systems and Computing series, Springer, 2012-pp.
247-248.
3. Nagoev, Z.V. Invariant intellektual'noy fraktal'noy mul'tiagentnoy kognitivnoy
arkhitektury / Z.V.Nagoev, O.V.Nagoeva.// Materialy II Mezhdunarodnoy konferentsii
«Avtomatizatsiya upravleniya i intellektual'nye sistemy i sredy», T. II.,
2011-S. 195-199.
4. Nagoev, Z.V. Metod diskretno-dinamicheskikh chastits v zadachakh mekhaniki
deformiruemogo tverdogo tela / Z.V.Nagoev, M.M.Oshkhunov// Izvestiya RAN. Mekhanika
tverdogo tela, №4, M.: Nauka, 2011-S. 155-169
5. Ivanov, P.M. Samoorganizuyushchayasya sistema prinyatiya resheniy na osnove
avtomatnogo predstavleniya rekursivnoy mul'tiagentnoy kognitivnoy arkhitektury dlya
sistem obvolakivayushchego intellekta. / P.M.Ivanov,Z.V.Nagoev// Izvestiya KBNTs RAN,
Nal'chik: Izdatel'stvo KBNTs RAN, 2012, № 5 (49)-S. 30-37.

References (transliteration):
1. Nagoev, Z. V. Formalizatsiya agenta dlya zadachi sinteza intellektual'nogo povedeniya
na osnove rekursivnoy kognitivnoy arkhitektury. / Z. VNagoev // – Materialy
mezhdunarodnogo kongressa po intellektual'nym sistemam i informatsionnym
tekhnologiyam IS&IT12, 2-9 sentyabrya, Divnomorskoe, 2012.
2. Nagoev, Z. V. Multiagent recursive cognitive architecture. / Z. V. Nagoev//– Biologically
Inspired Cognitive Architectures 2012, Proceedings of the third annual meeting of the BICA
Society, in Advances in Intelligent Systems and Computing series, Springer, 2012-pp.
247-248.
3. Nagoev, Z.V. Invariant intellektual'noy fraktal'noy mul'tiagentnoy kognitivnoy
arkhitektury / Z.V.Nagoev, O.V.Nagoeva.// Materialy II Mezhdunarodnoy konferentsii
«Avtomatizatsiya upravleniya i intellektual'nye sistemy i sredy», T. II.,
2011-S. 195-199.
4. Nagoev, Z.V. Metod diskretno-dinamicheskikh chastits v zadachakh mekhaniki
deformiruemogo tverdogo tela / Z.V.Nagoev, M.M.Oshkhunov// Izvestiya RAN. Mekhanika
tverdogo tela, №4, M.: Nauka, 2011-S. 155-169
5. Ivanov, P.M. Samoorganizuyushchayasya sistema prinyatiya resheniy na osnove
avtomatnogo predstavleniya rekursivnoy mul'tiagentnoy kognitivnoy arkhitektury dlya
sistem obvolakivayushchego intellekta. / P.M.Ivanov,Z.V.Nagoev// Izvestiya KBNTs RAN,
Nal'chik: Izdatel'stvo KBNTs RAN, 2012, № 5 (49)-S. 30-37.

Аннотация: The author suggests an approach to formalization and presentation of collective expertise knowledge in a form of conceptual models, based on a functional-oriented technology. Implementation of the conceptual model in form of base of knowledge enables the ability to use expertise knowledge autonomously in solving the tasks of a simulation model structure synthesis. A mechanism of simulation model generation is in consequent appliance of formal rules of base of knowledge to its declarative data. The base of knowledge contains three groups of inference procedures. The first group of procedures provide the selection of the declarative knowledge needed to solve specific task (specific simulation model synthesis) from the entire base. The second group of procedures generates the composition and structure of the simulation model. The third group of procedures forms the informational connections in the synthesized model. Appliance of the formal-oriented approach at the stage of formalization of expertise knowledge provides adequacy of the structure of synthesized model to the tasks of the subject area and can significantly improve efficiency of the use of expertise knowledge in the modeling and study of complex systems.

Ключевые слова: expert knowledge, conceptual model, base of knowledge, formal synthesis, rules of inference, algorithm, structure, simulation model, system dynamics, complex system

Контактная информация: Gorokhov Andrei Vital’evich, 424000, Russia, Marii El, Yoshkar-Ola, pl. Lenina, d. 3

Библиография:
Ignat'ev M.B., Putilov V.A., Smol'kov G.Ya. Modeli i sistemy upravleniya kompleksnymi eksperimental'nymi issledovaniyami. M., Nauka, 1986, 232 s.
Putilov V.A., Gorokhov A.V. Sistemnaya dinamika regional'nogo razvitiya. Murmansk: NITs «Pazori» , 2002, 306 s.
Gorokhov A.V., Bystrov V.V. Informatsionnaya tekhnologiya kontseptual'nogo sinteza dinamicheskikh modeley slozhnykh sistem. Informatsionnye tekhnologii v regional'nom razvitii, Vypusk 7. Apatity, izd-vo KNTs RAN, 2007, s.69-77.

References (transliteration):
Ignat'ev M.B., Putilov V.A., Smol'kov G.Ya. Modeli i sistemy upravleniya kompleksnymi eksperimental'nymi issledovaniyami. M., Nauka, 1986, 232 s.
Putilov V.A., Gorokhov A.V. Sistemnaya dinamika regional'nogo razvitiya. Murmansk: NITs «Pazori» , 2002, 306 s.
Gorokhov A.V., Bystrov V.V. Informatsionnaya tekhnologiya kontseptual'nogo sinteza dinamicheskikh modeley slozhnykh sistem. Informatsionnye tekhnologii v regional'nom razvitii, Vypusk 7. Apatity, izd-vo KNTs RAN, 2007, s.69-77.

Аннотация: Programming is characterized by a variety rules, techniques, methods and means of its implementation, applied depending on qualification, experience and individual peculiarities of programmers. The authors analyze the different algorithms of source code plagiarism detection and semantic noise values calculated by those methods for different source codes. The article presents algorithm based on the combined approaches of several text and semantic algorithms, shows the form to which the source code is transferred in the majority of modern algorithms, describes classes of the modern algorithms for plagiarism detection in software source code. As a result the authors present an improved algorithm for plagiarism detection suggested for use in educational practice to detect plagiarism in students’ works. The given algorithm combines features of both text and semantic algorithms, the computational part has high parallelization, which lowers the execution time in presence of computation power.

Ключевые слова: plagiarism, source code, program code, token, semantics, semantic algorithms, matching coefficient, coefficient of commonality, metric, combined algorithm

Контактная информация: Sidorkina Irina Gennad’evna, 424000, Russia, Marii El, Yoshkar-Ola, pl. Lenina, d. 3

Библиография:
Wise M.J. String similarity via greedy string tiling and running Karp-Rabin matching. // Dept. of CS, University of Sydney. December 1993.
Baxter I., Yahin A., Moura L., Anna M.S., BierL. Clone Detection Using Abstract Syntax Trees. // Proceedings of ICSM. IEEE. 1998.
Prechelt L., Malpohl G., Philippsen M. JPlag: Finding plagiarisms among a set of programs. // Technical Report No. 1/00, Universityof Karlsruhe, Department of Informatics. March 2000.
Moussiades L.M., Vakali A. PDetect: A Clustering Approach for Detecting Plagiarism in Source Code Datasets. // The Computer Journal Advance Access. June 24, 2005
Manber U. Finding similar files in a large filesystem. // Proceedings of the USENIX Winter 1994 Technical Conference. San Francisco. 1994. P. 1–10.
Huang X., Hardison R.C., Miller W. A space-efficient algorithm for local similarities. // Computer Applications in the Biosciences 6. 1990. P. 373–381.

References (transliteration):
Wise M.J. String similarity via greedy string tiling and running Karp-Rabin matching. // Dept. of CS, University of Sydney. December 1993.
Baxter I., Yahin A., Moura L., Anna M.S., BierL. Clone Detection Using Abstract Syntax Trees. // Proceedings of ICSM. IEEE. 1998.
Prechelt L., Malpohl G., Philippsen M. JPlag: Finding plagiarisms among a set of programs. // Technical Report No. 1/00, Universityof Karlsruhe, Department of Informatics. March 2000.
Moussiades L.M., Vakali A. PDetect: A Clustering Approach for Detecting Plagiarism in Source Code Datasets. // The Computer Journal Advance Access. June 24, 2005
Manber U. Finding similar files in a large filesystem. // Proceedings of the USENIX Winter 1994 Technical Conference. San Francisco. 1994. P. 1–10.
Huang X., Hardison R.C., Miller W. A space-efficient algorithm for local similarities. // Computer Applications in the Biosciences 6. 1990. P. 373–381.

Аннотация: The authors suggested an approach to solving a fundamental problem of artificial intelligence (AI) of formalization of the semantics of rational thinking with the use of cognitive modeling based on the concept of recursive (fractal) cognitive architecture and a hypothesis of invariant of organizational and functional structure of the process of intelligent decision based on the cognitive functions. This researches with previously suggested method of learning in a multiagent neural like systems based on the ontoneuromorphogenesis are leading to the creation of self-organizing multiagent emergent networks, capable of simulation of psyche functions, goal-setting and adaptive goal-directed behavior based on the semantization of reality and building social connections. The principles of cognitive organization of intelligent systems are tightly connected with multiagent division of functions in multicellular organisms. Cognitive centers as in human brain as well as in an artificial intelligent system should be made as active systems, interworking with each other on the basis of the collective optimization parameters, critical in the first place to maintain the integrity of the system and its survival. Formal description of the agent should take into account that agent’s behavior consists of actions, which are carried out in the agent’s habitat and require energy. It is also important to note, that the exchange of energy and information happens not only between agent and the environment, but also between inside agents (organs, neurons) of the agent of a top level of recursive cognitive architecture.

Ключевые слова: multiagent systems, cognitive architecture, neural-like networks, intelligent systems, neural networks, agent, development, design, intelligent behavior, modeling

Контактная информация: Denisenko Vladimir Anatol’evich, 360000, Russia, KBR, Nal’chik, I. Armand, 37-A, kv. 2.4

Библиография:
Nagoev Z. V. Formalizatsiya agenta dlya zadachi sinteza intellektual'nogo povedeniya na osnove rekursivnoy kognitivnoy arkhitektury. – Materialy mezhdunarodnogo kongressa po intellektual'nym sistemam i informatsionnym tekhnologiyam IS&IT12, 2-9 sentyabrya, Divnomorskoe, 2012.
Nagoev Z. V. Multiagent recursive cognitive architecture. – Biologically Inspired Cognitive Architectures 2012, Proceedings of the third annual meeting of the BICA Society, in Advances in Intelligent Systems and Computing series, Springer, 2012, pp. 247-248.
Nagoev Z.V, Nagoeva O.V., Invariant intellektual'noy fraktal'noy mul'tiagentnoy kognitivnoy arkhitektury // Materialy II Mezhdunarodnoy konferentsii «Avtomatizatsiya upravleniya i intellektual'nye sistemy i sredy», T. II., 2011,-s. 195-199.
Nagoev Z.V, Oshkhunov M.M., Metod diskretno-dinamicheskikh chastits v zadachakh mekhaniki deformiruemogo tverdogo tela // Izvestiya RAN. Mekhanika tverdogo tela, №4, M.: Nauka, 2011,-s. 155-169
Ivanov P.M., Nagoev Z.V. Samoorganizuyushchayasya sistema prinyatiya resheniy na osnove avtomatnogo predstavleniya rekursivnoy mul'tiagentnoy kognitivnoy arkhitektury dlya sistem obvolakivayushchego intellekta. // Izvestiya KBNTs RAN, Nal'chik: Izdatel'stvo KBNTs RAN, 2012, № 5 (49),-s. 30-37.

References (transliteration):
Nagoev Z. V. Formalizatsiya agenta dlya zadachi sinteza intellektual'nogo povedeniya na osnove rekursivnoy kognitivnoy arkhitektury. – Materialy mezhdunarodnogo kongressa po intellektual'nym sistemam i informatsionnym tekhnologiyam IS&IT12, 2-9 sentyabrya, Divnomorskoe, 2012.
Nagoev Z. V. Multiagent recursive cognitive architecture. – Biologically Inspired Cognitive Architectures 2012, Proceedings of the third annual meeting of the BICA Society, in Advances in Intelligent Systems and Computing series, Springer, 2012, pp. 247-248.
Nagoev Z.V, Nagoeva O.V., Invariant intellektual'noy fraktal'noy mul'tiagentnoy kognitivnoy arkhitektury // Materialy II Mezhdunarodnoy konferentsii «Avtomatizatsiya upravleniya i intellektual'nye sistemy i sredy», T. II., 2011,-s. 195-199.
Nagoev Z.V, Oshkhunov M.M., Metod diskretno-dinamicheskikh chastits v zadachakh mekhaniki deformiruemogo tverdogo tela // Izvestiya RAN. Mekhanika tverdogo tela, №4, M.: Nauka, 2011,-s. 155-169
Ivanov P.M., Nagoev Z.V. Samoorganizuyushchayasya sistema prinyatiya resheniy na osnove avtomatnogo predstavleniya rekursivnoy mul'tiagentnoy kognitivnoy arkhitektury dlya sistem obvolakivayushchego intellekta. // Izvestiya KBNTs RAN, Nal'chik: Izdatel'stvo KBNTs RAN, 2012, № 5 (49),-s. 30-37.

Аннотация: the article reviews a technique of designing the knowledge base oriented neural networks represented by semantic networks. The technique is based on the appliance of a unified model of a neural network. A distinctive feature of the proposed design technique for processing the knowledge bases is in usage of a component approach and the libraries of compatible components of neural networks to reduce the labor contribution during the development, decrease the requirements for the qualification of developers and solve the problem of integration of neural network specific methods with other methods of representation and processing data in the development of hybrid intellectual systems.

Ключевые слова: Software, hybrid intelligent system, knowledge base, semantic network, model, neural network, method of design, component, library, specification.

Контактная информация: Gulyakina Natalia Anatolievna, 220013, Minsk, ul. Brovki, 6.

Библиография:
1. Shuklin D.E. Realizatsiya semanticheskoy neyronnoy seti i ob'ektno-setevoy bazy znaniy / Shu-
klin D.E. // Intellektual'nye i mnogoprotsessornye sistemy-2005 // Materialy Mezhdunarod-
noy nauchnoy konferentsii. T. 2. — Taganrog: Izd-vo TRTU, 2005. — S. 236-243.
2. Yarushkina N.G. Osnovy teorii nechetkikh i gibridnykh sistem / N.G. Yarushkina. — M.: Finansy i sta-
tistika, 2004.
3. Yarushkina N.G. Gibridnye sistemy, osnovannye na myagkikh vychisleniyakh: Opredelenie, arkhitektu-
ra, vozmozhnosti / N.G. Yarushkina // Programmnye produkty i sistemy. — № 3. 2002.
4. Mirkes E.M. Neyrokomp'yuter. Proekt standarta / E.M. Mirkes. Novosibirsk: Nauka, 1999. — 337 s.
5. Komartsova L.G. Neyrokomp'yutery / L.G. Komartsova, A.V. Maksimov. — M.: Izd-vo MGTU im. N.E. Bau-
mana, 2004. — 400 s.
6. Golovko V.A. Neyrointellekt: teoriya i primenenie. Kniga 1, 2: Organizatsiya i obuchenie neyron-
nykh setey s pryamymi i obratnymi svyazyami / V.A. Golovko. — BrestIzd.BPI, 1999. — 264 s.
7. Uossermen F. Neyrokompyoternaya tekhnika: Teoriya i praktika / F. Uossermen. — M.: Mir, 1992. — 237 s.
8. Komartsova L.G. Problemy integratsii intellektual'nykh tekhnologiy v gibridnykh sistemakh /
L.G. Komartsova // Nechetkie sistemy i myagkie vychisleniya, 2009. — S. 20-29.
9. Gavrilova T.A., Khoroshevskiy V.F. Bazy znaniy intellektual'nykh sistem: uchebnik / Gavrilova T.A.
[i dr.]. — SPb.: Izd-vo «Piter», 2001.
10. Davydenko I.T. Razrabotka bazy znaniy intellektual'noy spravochnoy sistemy po geometrii //
Informatsionnye sistemy i tekhnologii (IST’2010): materialy VIMezhdunar. Konf. — Minsk:
A.N. Varaksin, 2010. — S. 462-466.
11. Marka D.A. Metodologiya strukturnogo analiza i proektirovaniya / D.A. Marka, K. MakGouen. — M.:
MetaTekhnologiya, 1993. — 224 s.
12. Ivashenko V.P. Predstavlenie neyronnykh setey i sistem produktsiy v odnorodnykh semanticheskikh se-
tyakh / V.P. Ivashenko // Izvestiya Belorusskoy inzhenernoy akademii. — №1(15), 2003. — S. 184-188.
13. Golenkov V.V. Predstavlenie i obrabotka znaniy v grafodinamicheskikh assotsiativnykh mashinakh /
Golenkov V.V. [i dr.]; pod red. V.V. Golenkova. — Minsk, 2001. — 412 s.
14. Golenkov V.V., Gulyakina N.A. Grafodinamicheskie modeli parallel'noy obrabotki znaniy: prin-
tsipy postroeniya, realizatsii i proektirovaniya. — V kn Mezhdunar. nauchn.-tekhn. konf. «Otkrytye semanticheskie tekhnologii proektirovaniya intellektual'nykh sistem» (OSTIS-2012). Materialy
konf. [Minsk, 16-18 fevr. 2012 g.]. — Minsk: BGUIR, 2012. — S. 23-52.
15. Tarasov V.B. Ot mnogoagentnykh sistem k intellektual'nym organizatsiyam: filosofiya, psikhologiya,
informatika. — M.: Editorial URSS, 2002. — 352 s.
16. Proekt OSTIS [Elektronnyy resurs]. Minsk, 2011. — Rezhim dostupa: http://ostis.net/. — Data do-
stupa: 01.04.2013.

References (transliteration):
1. Shuklin D.E. Realizatsiya semanticheskoy neyronnoy seti i ob'ektno-setevoy bazy znaniy / Shu-
klin D.E. // Intellektual'nye i mnogoprotsessornye sistemy-2005 // Materialy Mezhdunarod-
noy nauchnoy konferentsii. T. 2. — Taganrog: Izd-vo TRTU, 2005. — S. 236-243.
2. Yarushkina N.G. Osnovy teorii nechetkikh i gibridnykh sistem / N.G. Yarushkina. — M.: Finansy i sta-
tistika, 2004.
3. Yarushkina N.G. Gibridnye sistemy, osnovannye na myagkikh vychisleniyakh: Opredelenie, arkhitektu-
ra, vozmozhnosti / N.G. Yarushkina // Programmnye produkty i sistemy. — № 3. 2002.
4. Mirkes E.M. Neyrokomp'yuter. Proekt standarta / E.M. Mirkes. Novosibirsk: Nauka, 1999. — 337 s.
5. Komartsova L.G. Neyrokomp'yutery / L.G. Komartsova, A.V. Maksimov. — M.: Izd-vo MGTU im. N.E. Bau-
mana, 2004. — 400 s.
6. Golovko V.A. Neyrointellekt: teoriya i primenenie. Kniga 1, 2: Organizatsiya i obuchenie neyron-
nykh setey s pryamymi i obratnymi svyazyami / V.A. Golovko. — BrestIzd.BPI, 1999. — 264 s.
7. Uossermen F. Neyrokompyoternaya tekhnika: Teoriya i praktika / F. Uossermen. — M.: Mir, 1992. — 237 s.
8. Komartsova L.G. Problemy integratsii intellektual'nykh tekhnologiy v gibridnykh sistemakh /
L.G. Komartsova // Nechetkie sistemy i myagkie vychisleniya, 2009. — S. 20-29.
9. Gavrilova T.A., Khoroshevskiy V.F. Bazy znaniy intellektual'nykh sistem: uchebnik / Gavrilova T.A.
[i dr.]. — SPb.: Izd-vo «Piter», 2001.
10. Davydenko I.T. Razrabotka bazy znaniy intellektual'noy spravochnoy sistemy po geometrii //
Informatsionnye sistemy i tekhnologii (IST’2010): materialy VIMezhdunar. Konf. — Minsk:
A.N. Varaksin, 2010. — S. 462-466.
11. Marka D.A. Metodologiya strukturnogo analiza i proektirovaniya / D.A. Marka, K. MakGouen. — M.:
MetaTekhnologiya, 1993. — 224 s.
12. Ivashenko V.P. Predstavlenie neyronnykh setey i sistem produktsiy v odnorodnykh semanticheskikh se-
tyakh / V.P. Ivashenko // Izvestiya Belorusskoy inzhenernoy akademii. — №1(15), 2003. — S. 184-188.
13. Golenkov V.V. Predstavlenie i obrabotka znaniy v grafodinamicheskikh assotsiativnykh mashinakh /
Golenkov V.V. [i dr.]; pod red. V.V. Golenkova. — Minsk, 2001. — 412 s.
14. Golenkov V.V., Gulyakina N.A. Grafodinamicheskie modeli parallel'noy obrabotki znaniy: prin-
tsipy postroeniya, realizatsii i proektirovaniya. — V kn Mezhdunar. nauchn.-tekhn. konf. «Otkrytye semanticheskie tekhnologii proektirovaniya intellektual'nykh sistem» (OSTIS-2012). Materialy
konf. [Minsk, 16-18 fevr. 2012 g.]. — Minsk: BGUIR, 2012. — S. 23-52.
15. Tarasov V.B. Ot mnogoagentnykh sistem k intellektual'nym organizatsiyam: filosofiya, psikhologiya,
informatika. — M.: Editorial URSS, 2002. — 352 s.
16. Proekt OSTIS [Elektronnyy resurs]. Minsk, 2011. — Rezhim dostupa: http://ostis.net/. — Data do-
stupa: 01.04.2013.

Аннотация: the article suggests a new way to automate the search of anomalous zones in the structure of the under sleeper pad base of the railway through the search of anomalous zones with the upper track structure examination during the overall control and diagnosis of the railway based on the building a model using the GPR radarograms representation. The proposed method is based on the article devoted to the methods of search for the anomalous zones, that points out the need of finding a connection between anomalous data and describing them in a unified mathematical representation model. This method is presented as a description of the mathematical model made up of mathematical models of all anomalous axes of phase synchronism obtained by earlier studies of the ballast railway. The method can be used to automate the classification of data on the ballast railway structure, not previously investigated, and in using data about the structure of the known railway track sections.

Ключевые слова: Software, ground penetrating radar, georadar, layer, radiogram, track, method, model, anomaly, vector.

Контактная информация: Sukhanov Andrey Valeryevich, 344038, Russia, Rostov-na-Donu, pl. Rostovskogo Strelkovogo Polka Narodnogo Opolchenia, d. 2.

Библиография:
1. Starovoytov A.V. Interpretatsiya georadiolokatsionnykh dannykh: ucheb. posobie. — M.: Izd-vo MGU,
2008. — 192 s.
2. Varun Chandola, Arindam Banerjee and Vipin Kumar, «Anomaly Detection: A Survey», ACM Computing
Surveys. Vol. 41(3). Article 15, July 2009.

References (transliteration):
1. Starovoytov A.V. Interpretatsiya georadiolokatsionnykh dannykh: ucheb. posobie. — M.: Izd-vo MGU,
2008. — 192 s.
2. Varun Chandola, Arindam Banerjee and Vipin Kumar, «Anomaly Detection: A Survey», ACM Computing
Surveys. Vol. 41(3). Article 15, July 2009.

Аннотация: the article describes a method of determining the parameters of Mamdani fuzzy inference system based on its identity with the Takagi-Sugeno system. The author substantiates the properties that can be used as universal apprximators for both systems. The article introduces an algorithm of formation functions of membership of the right-hand parts of the Mamdani rules and the method of formation of the system as a whole.

Ключевые слова: Software, fuzzy, logic, Mamdani, Takagi, approximator, Sugeno, automatization, identity, output.

Контактная информация: Emaletdinova Liliya Yunerovna, 420111, Russia, Kazan, ul. K. Marska, d. 10.

Библиография:
1. Zadeh L.A. Fuzzy sets. Information and Control, 1965. — vol. 8. — № 3. — p. 338-353.
2. Shtovba S.D. Vvedenie v teoriyu nechetkikh mnozhestv i nechetkuyu logiku. Vinnitsa: Izd-vo vinnitsko-
go gosudarstvennogo tekhnicheskogo universiteta, 2001. — 198 s.
3. Shtovba S.D. Proektirovanie nechetkikh sistem sredstvami MatLab. — M.: Goryachaya liniya-Telkom,
2007. — 284 s.
4. Verbruggen H.B., Babuska R. Constructing fuzzy models by product space clustering // Fuzzy model
identification / Eds. H. Helendorn, D. Driankov. — Berlin: Springer, 1998. P. 53-90.
5. Xue Q., Hu Y., Tompkins W. Analysis of hidden units of back propagation model by SVD // Proc. IJCNN,
1990. — Washington. — p. 739-742.
6. Wang L. X. Fuzzy systems are universal approximators // Proc. of the IEEE Int. Conf. on Fuzzy Systems. —
San Diego, 1992. — p. 1163-1169.

References (transliteration):
1. Zadeh L.A. Fuzzy sets. Information and Control, 1965. — vol. 8. — № 3. — p. 338-353.
2. Shtovba S.D. Vvedenie v teoriyu nechetkikh mnozhestv i nechetkuyu logiku. Vinnitsa: Izd-vo vinnitsko-
go gosudarstvennogo tekhnicheskogo universiteta, 2001. — 198 s.
3. Shtovba S.D. Proektirovanie nechetkikh sistem sredstvami MatLab. — M.: Goryachaya liniya-Telkom,
2007. — 284 s.
4. Verbruggen H.B., Babuska R. Constructing fuzzy models by product space clustering // Fuzzy model
identification / Eds. H. Helendorn, D. Driankov. — Berlin: Springer, 1998. P. 53-90.
5. Xue Q., Hu Y., Tompkins W. Analysis of hidden units of back propagation model by SVD // Proc. IJCNN,
1990. — Washington. — p. 739-742.
6. Wang L. X. Fuzzy systems are universal approximators // Proc. of the IEEE Int. Conf. on Fuzzy Systems. —
San Diego, 1992. — p. 1163-1169.

Аннотация: the authors describe the open semantic technology of designing intellectual problem solvers. Special attention is given to the method of designing solvers and operations, which composes these solvers. The technology is a multilevel system and each level is responsible for specific functions during the problem solving. The special purposes agents function at each level and each level contains a supervisor agent responsible for the agents’ work optimization. The article shows a description of the supervisor agents’ algorithms and the principles of the organization of such systems in the whole.

Ключевые слова: Software, intellectual system, intellectual problem solver, logical conclusion, semantics, agent, supervisor, hierarchical structure, algorithm, technology

Контактная информация: Golenkov Vladimir Vasilyevich, 220013, Republic of Belarus, Minsk, ul. P.Brovki, 6

Библиография:
1. Gavrilova T.A., Khoroshevskiy V.F. Bazy znaniy intellektual'nykh sistem. Uchebnik /
Gavrilova T.A.. [i dr.]; – SPb. : Izd-vo «Piter», 2001.
2. Proekt OSTIS [Elektronnyy resurs]. Minsk, 2011. – Rezhim dostupa: http://ostis.net/.
– Data dostupa: 01.10.2012.
3. Dostovernyy i pravdopodobnyy vyvod v intellektual'nykh sistemakh / Vagin V.N. [i
dr.]; – M. : FIZMATLIT, 2008.
4. Golenkov, V.V. Predstavlenie i obrabotka znaniy v grafodinamicheskikh assotsiativ-
nykh mashinakh / Golenkov V.V. [i dr.]; pod red. V.V. Golenkova – Minsk, 2001.
5. Tarasov, V.B. Ot mnogoagentnykh sistem k intellektual'nym organizatsiyam / V.B. Ta-
rasov; – M. :Izd-vo URSS, 2002.
6. Programmirovanie v assotsiativnykh mashinakh / Golenkov V. V. [i dr.]; pod red. V. V. Go-
lenkova – Minsk, 2001.
7. Poyya D. Kak reshat' zadachu. / D. Poyya; — M.: Librokom, 2010.

References (transliteration):
1. Gavrilova T.A., Khoroshevskiy V.F. Bazy znaniy intellektual'nykh sistem. Uchebnik /
Gavrilova T.A.. [i dr.]; – SPb. : Izd-vo «Piter», 2001.
2. Proekt OSTIS [Elektronnyy resurs]. Minsk, 2011. – Rezhim dostupa: http://ostis.net/.
– Data dostupa: 01.10.2012.
3. Dostovernyy i pravdopodobnyy vyvod v intellektual'nykh sistemakh / Vagin V.N. [i
dr.]; – M. : FIZMATLIT, 2008.
4. Golenkov, V.V. Predstavlenie i obrabotka znaniy v grafodinamicheskikh assotsiativ-
nykh mashinakh / Golenkov V.V. [i dr.]; pod red. V.V. Golenkova – Minsk, 2001.
5. Tarasov, V.B. Ot mnogoagentnykh sistem k intellektual'nym organizatsiyam / V.B. Ta-
rasov; – M. :Izd-vo URSS, 2002.
6. Programmirovanie v assotsiativnykh mashinakh / Golenkov V. V. [i dr.]; pod red. V. V. Go-
lenkova – Minsk, 2001.
7. Poyya D. Kak reshat' zadachu. / D. Poyya; — M.: Librokom, 2010.

Аннотация: the article emphasizes the need for a new knowledge representation model for increasing the efficiency of the expert diagnostic systems in social and technical fields of study. The authors present a fuzzy-production model, which allows the rules of the field of study to be described on a set of data of different types, represented both in clear and fuzzy scales. The authors develop a methodology of grouping the parameters, describing the object of diagnostics, to construct the cascade of parameters in accordance with the stages of the diagnostic process. The cascade of production rules is build upon the base of given model and method allowing to diagnose the state of a complex object. The authors describe the algorithm of a logical conclusion on the cascade of rules. On the solution of the medical diagnosis problem the author shows the effectiveness of the proposed approach, poses the problem of the future studies.

Ключевые слова: Software, fuzzy, model, diagnostics, knowledge, expert, system, acceptance, decision

Контактная информация: Emaletdinova Liliya Ynerovna, 420111, Russia, Kazan, ul. B.Krasnaya, 55

Библиография:
1. Gavrilova T.A., Khoroshevskiy V.F. Bazy znaniy intellektual'nykh sistem. – SPb.:
Piter, 2001. – 384 s.: il.
2. Glova V.I., Anikin I.V., Shagiakhmetov M.R. Sistema nechetkogo modeliro-vaniya dlya
resheniya zadach povysheniya neftedobychi // Vestnik KGTU im. A.N. Tupoleva. – 2001.
– № 3. – S. 59-61.
3. Katasev A.S. Neyronechetkaya model' i programmnyy kompleks formirovaniya baz
znaniy ekspertnykh sistem // Avtoref. diss. na soisk. uch. step. k-ta tekhn. nauk. Ka-
zan', 2006. – 20 s.
4. Podol'skaya M.A., Katasev A.S. Primenenie sistem iskusstvennogo intel-lekta dlya
diagnosticheskogo protsessa v vertebronevrologii // Kazanskiy meditsinskiy zhur-
nal. – 2007. – № 4. – S. 346-351.
5. Strunkin D.Yu. Vybor znachimykh dlya prognozirovaniya vremeni vyzhivaniya pokaza-
teley patsienta // Polzunovskiy vestnik. – 2011. – №3/1. – S. 158-162.

References (transliteration):
1. Gavrilova T.A., Khoroshevskiy V.F. Bazy znaniy intellektual'nykh sistem. – SPb.:
Piter, 2001. – 384 s.: il.
2. Glova V.I., Anikin I.V., Shagiakhmetov M.R. Sistema nechetkogo modeliro-vaniya dlya
resheniya zadach povysheniya neftedobychi // Vestnik KGTU im. A.N. Tupoleva. – 2001.
– № 3. – S. 59-61.
3. Katasev A.S. Neyronechetkaya model' i programmnyy kompleks formirovaniya baz
znaniy ekspertnykh sistem // Avtoref. diss. na soisk. uch. step. k-ta tekhn. nauk. Ka-
zan', 2006. – 20 s.
4. Podol'skaya M.A., Katasev A.S. Primenenie sistem iskusstvennogo intel-lekta dlya
diagnosticheskogo protsessa v vertebronevrologii // Kazanskiy meditsinskiy zhur-
nal. – 2007. – № 4. – S. 346-351.
5. Strunkin D.Yu. Vybor znachimykh dlya prognozirovaniya vremeni vyzhivaniya pokaza-
teley patsienta // Polzunovskiy vestnik. – 2011. – №3/1. – S. 158-162.

Аннотация: this article considers the methodology of semantic models designing for one of the most important classes of intellectual systems – intellectual reference system. The methodology is based on use of semantic networks for encoding the information stored in knowledge base. The method is built on two principles: the principle of evolutionary design and the principle of collective design. A distinctive feature of this approach in designing intellectual systems is that at the each step of the designing process a working prototype of the system is available, which speeds up putting the developed system in operation both for testing and end-users and significantly increases the life cycle of the product.

Ключевые слова: Software, methodology, design, system, knowledge, semantics, artificial intelligence, model, component, subject field

Контактная информация: Gulyakina Natalya Anatolyevna, 220013, Republic of Belarus, Minsk, ul. P.Brovki, 6

Библиография:
1. Bashmakov, A. I. Razrabotka komp'yuternykh uchebnikov i obuchayushchikh sistem. / Bashmakov
A. I., Bashmakov I. A., M.: Informatsionno-izdatel'skiy dom “Filin'”, 2003. — 616 s.
2. Bashmakov, A.I. Intellektualizatsiya kak sredstvo povysheniya dostupnosti tekhno-
logiy razrabotki komp'yuternykh sredstv obucheniya / A.I. Bashmakov // Obrazovatel'-
naya sreda segodnya i zavtra: materialy Vserossiyskoy nauchno-prakticheskoy konfe-
rentsii [Elektronnyy resurs]. – 2004. – Rezhim dostupa: http://www.ict.edu.ru/vconf/
index.php. – Data dostupa: 10.10.2011
3. Golenkov, V.V., Gulyakina N.A. Printsipy postroeniya massovoy semanticheskoy tekhno-
logii komponentnogo proektirovaniya intellektual'nykh sistem . – V kn Mezhdunar.
nauchn.-tekhn. konf. . «Otkrytye semanticheskie tekhnologii proektirovaniya intel-
lektual'nykh sistem» (OSTIS-2011). Materialy konf. [Minsk, 10-12 fevr. 2011 g.].
– Minsk: BGUIR, 2011, s. 21-59.
4. Golenkov, V.V., Gulyakina N.A. Printsipy Grafodinamicheskie modeli parralel'noy
obrabotki znaniy: printsipy postroeniya, realizatsii i proevtirovaniya . – V kn
Mezhdunar. nauchn.-tekhn. konf. . «Otkrytye semanticheskie tekhnologii proektirova-
niya intellektual'nykh sistem» (OSTIS-2012). Materialy konf. [Minsk, 16-18 fevr.
2012 g.]. – Minsk: BGUIR, 2012, s. 23-52.
5. Intellektual'nye obuchayushchie sistemy i virtual'nye uchebnye organizatsii / Go-
lenkov V.V. [i dr.]; pod red. V.V. Golenkova – Minsk, 2001. – 488s.
6. Gavrilova T.A., Khoroshevskiy V.F. Bazy znaniy intellektual'nykh sistem. Uchebnik /
Gavrilova T.A.. [i dr.]; – SPb. : Izd-vo «Piter», 2001.
7. Gavrilova, T. A. Vizual'nye metody raboty so znaniyami: popytka obzora / T. A. Gavrilo-
va, N. A. Gulyakina // Iskusstvennyy intellekt i prinyatie resheniy, 2008, № 1, S. 15-21
8. Gribova, V.V. Sistemy upravleniya intellektual'nymi Internet-prilozhe-
niyami. / Gribova V.V., Kleshchev A.S., Shalfeeva E.A.// Vladivostok: IAPU
DVO RAN, 2010. 31 s.
9. Gribova, V. V. Oblachnaya platforma dlya razrabotki i upravleniya intellektual'nymi
sistemami / V. V. Gribova, A. S. Kleshchev, D. A. Krylov, F. M. Moskalenko, S. V. Sma-
gin, V. A. Timchenko, M. B. Tyutyunnik, E. A. Shalfeeva //Materialy mezhdunarodnoy
nauchno-tekhnicheskoy konferentsii OSTIS-2011, 5-14 str. Minsk BGUIR
10. Grakova, N.V. Semanticheskaya model' upravleniya proektami / N.V. Grakova, I.I. Zhu-
kov, D.G. Kolb // Distantsionnoe obuchenie – obrazovatel'naya sreda XXI veka: Materi-
aly VII Mezhdunar. nauch.-metod. konferentsii, 1-2 dek. 2011 g. – Minsk: BGUIR, 2011.
Tezisy dokladov
11. Zenkin, A.A. Kognitivnaya komp'yuternaya grafika/ A.A. Zenkin; – M. : Nauka, 1991.
12. Khoroshevskiy, V.F. Prostranstva znaniy v seti Internet i Semantic Web (Chast' 1) /
V. F. Khoroshevskiy // Iskusstvennyy intellekt i prinyatie resheniy. – 2008. –
№ 1. – S.80-97.
13. Web-server ontologiy sistemy EZOP [Elektronnyy resurs]. Minsk, 2010. – Rezhim
dostupa: http://ezop-project.ru/drupal5/. – Data dostupa: 14.11.2011.
14. Sayt sistemy dinamicheskoy geometrii GeoGebra [Elektronnyy resurs]. – Rezhim
dostupa: http://www.geogebra.org – Data dostupa: 11.11.2011.
15. Proekt OSTIS [Elektronnyy resurs]. Minsk, 2012. – Rezhim dostupa: http://ostis.net/.
– Data dostupa: 11.08.2012.

References (transliteration):
1. Bashmakov, A. I. Razrabotka komp'yuternykh uchebnikov i obuchayushchikh sistem. / Bashmakov
A. I., Bashmakov I. A., M.: Informatsionno-izdatel'skiy dom “Filin'”, 2003. — 616 s.
2. Bashmakov, A.I. Intellektualizatsiya kak sredstvo povysheniya dostupnosti tekhno-
logiy razrabotki komp'yuternykh sredstv obucheniya / A.I. Bashmakov // Obrazovatel'-
naya sreda segodnya i zavtra: materialy Vserossiyskoy nauchno-prakticheskoy konfe-
rentsii [Elektronnyy resurs]. – 2004. – Rezhim dostupa: http://www.ict.edu.ru/vconf/
index.php. – Data dostupa: 10.10.2011
3. Golenkov, V.V., Gulyakina N.A. Printsipy postroeniya massovoy semanticheskoy tekhno-
logii komponentnogo proektirovaniya intellektual'nykh sistem . – V kn Mezhdunar.
nauchn.-tekhn. konf. . «Otkrytye semanticheskie tekhnologii proektirovaniya intel-
lektual'nykh sistem» (OSTIS-2011). Materialy konf. [Minsk, 10-12 fevr. 2011 g.].
– Minsk: BGUIR, 2011, s. 21-59.
4. Golenkov, V.V., Gulyakina N.A. Printsipy Grafodinamicheskie modeli parralel'noy
obrabotki znaniy: printsipy postroeniya, realizatsii i proevtirovaniya . – V kn
Mezhdunar. nauchn.-tekhn. konf. . «Otkrytye semanticheskie tekhnologii proektirova-
niya intellektual'nykh sistem» (OSTIS-2012). Materialy konf. [Minsk, 16-18 fevr.
2012 g.]. – Minsk: BGUIR, 2012, s. 23-52.
5. Intellektual'nye obuchayushchie sistemy i virtual'nye uchebnye organizatsii / Go-
lenkov V.V. [i dr.]; pod red. V.V. Golenkova – Minsk, 2001. – 488s.
6. Gavrilova T.A., Khoroshevskiy V.F. Bazy znaniy intellektual'nykh sistem. Uchebnik /
Gavrilova T.A.. [i dr.]; – SPb. : Izd-vo «Piter», 2001.
7. Gavrilova, T. A. Vizual'nye metody raboty so znaniyami: popytka obzora / T. A. Gavrilo-
va, N. A. Gulyakina // Iskusstvennyy intellekt i prinyatie resheniy, 2008, № 1, S. 15-21
8. Gribova, V.V. Sistemy upravleniya intellektual'nymi Internet-prilozhe-
niyami. / Gribova V.V., Kleshchev A.S., Shalfeeva E.A.// Vladivostok: IAPU
DVO RAN, 2010. 31 s.
9. Gribova, V. V. Oblachnaya platforma dlya razrabotki i upravleniya intellektual'nymi
sistemami / V. V. Gribova, A. S. Kleshchev, D. A. Krylov, F. M. Moskalenko, S. V. Sma-
gin, V. A. Timchenko, M. B. Tyutyunnik, E. A. Shalfeeva //Materialy mezhdunarodnoy
nauchno-tekhnicheskoy konferentsii OSTIS-2011, 5-14 str. Minsk BGUIR
10. Grakova, N.V. Semanticheskaya model' upravleniya proektami / N.V. Grakova, I.I. Zhu-
kov, D.G. Kolb // Distantsionnoe obuchenie – obrazovatel'naya sreda XXI veka: Materi-
aly VII Mezhdunar. nauch.-metod. konferentsii, 1-2 dek. 2011 g. – Minsk: BGUIR, 2011.
Tezisy dokladov
11. Zenkin, A.A. Kognitivnaya komp'yuternaya grafika/ A.A. Zenkin; – M. : Nauka, 1991.
12. Khoroshevskiy, V.F. Prostranstva znaniy v seti Internet i Semantic Web (Chast' 1) /
V. F. Khoroshevskiy // Iskusstvennyy intellekt i prinyatie resheniy. – 2008. –
№ 1. – S.80-97.
13. Web-server ontologiy sistemy EZOP [Elektronnyy resurs]. Minsk, 2010. – Rezhim
dostupa: http://ezop-project.ru/drupal5/. – Data dostupa: 14.11.2011.
14. Sayt sistemy dinamicheskoy geometrii GeoGebra [Elektronnyy resurs]. – Rezhim
dostupa: http://www.geogebra.org – Data dostupa: 11.11.2011.
15. Proekt OSTIS [Elektronnyy resurs]. Minsk, 2012. – Rezhim dostupa: http://ostis.net/.
– Data dostupa: 11.08.2012.